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Experience Level
Mid to Senior
Qualifications
Basic QualificationsBachelor’s Degree in Computer Science, Engineering, or a related field.4–7 years of experience in application development and data engineering.3+ years of hands-on experience with big data technologies.3+ years of experience with cloud platforms (AWS preferred; Azure or GCP acceptable). Proficiency in programming languages such as Python, SQL, Scala, or Java (3+ years). Experience with distributed computing tools such as Hadoop, Hive, EMR, Kafka, or Spark (3+ years). Hands-on experience with real-time data and streaming applications (3+ years). Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) – 3+ years. Expertise in data warehousing solutions (e.g., Redshift or equivalent) – 3+ years. Proficiency in UNIX/Linux, including shell scripting – 3+ years. Familiarity with Agile engineering practices. Experience in SQL performance tuning and optimization – 3+ years.2+ years of PySpark experience. Exposure to process orchestration tools (e.g., Airflow, AWS Step Functions, Luigi, or KubeFlow). Preferred QualificationsExperience with Machine Learning workflows. Exposure to Data-as-a-Service platforms. Experience designing and deploying APIs.
About the job
Key Responsibilities
Design, test, deploy, orchestrate, monitor, and troubleshoot cloud-based data pipelines and automation workflows, adhering to best practices and security standards.
Collaborate with data scientists, architects, ETL developers, and business stakeholders to capture, format, and integrate data from internal systems, external sources, and data warehouses.
Investigate and assess batch and streaming data technologies to gauge their business impact and relevance to current use cases.
Contribute to defining and continuously enhancing data engineering processes and methodologies.
Ensure data integrity, accuracy, and security across all corporate data assets.
Uphold high data quality standards for Data Services, Analytics, and Master Data Management.
Create automated, scalable, and test-driven data pipelines.
Utilize software development practices, including Git-based version control, CI/CD, and release management, to enhance AWS CI/CD pipelines.
Partner with DevOps engineers and architects to refine DataOps tools and frameworks.
About NEC Software Solutions India
NEC Software Solutions (India)Formerly known as Rave Technologies, we transitioned to NEC Software Solutions India on July 1, 2021, becoming part of the renowned NEC Corporation brand. With over 122 years of expertise in technology and innovation, we pride ourselves on delivering comprehensive IT services globally for more than 30 years. Our commitment to exceeding client expectations has earned us a reputation for excellence in providing robust, market-ready software products that meet high engineering and user experience standards. Supported by a talented workforce of over 1300 professionals, we serve as a hub for offshore support and technology services across various industries, including publishing, media, financial services, retail, healthcare, and technology. Our clientele ranges from startups to billion-dollar enterprises.
Role OverviewJoin our dynamic team as an AWS Data Engineer! We are looking for a talented individual with 4–7 years of experience in data engineering to architect and develop cloud-native data pipelines. Your innovative contributions will play a vital role in enhancing our data engineering practices, fostering collaboration across teams, and delivering secur…
Full-time|₹1.5M/yr - ₹4M/yr|On-site|Amaravathi, Andhra Pradesh, India
Join a leading client of Weekday as an AWS Data Engineer!We are seeking a highly skilled AWS Data Engineer with a passion for designing, developing, and optimizing scalable data solutions within cloud environments. This full-time position emphasizes the importance of creating robust data pipelines that enhance data processing efficiency and support analytics and reporting initiatives.As an integral member of our cross-functional teams, you will ensure that data is reliable, accessible, and aligned with business objectives. Your expertise in AWS data services and hands-on experience in managing extensive data environments will be crucial in maintaining seamless data operations from ingestion to consumption while upholding performance and reliability standards.
Join our talented team at Endava as an AWS Cloud Data Engineer in Bengaluru. In this role, you will be responsible for designing and implementing data solutions on the AWS platform, ensuring the integrity and efficiency of data processes. You will collaborate with cross-functional teams to deliver robust data pipelines and analytics solutions, contributing significantly to our clients' success.
Mactores is a pioneering leader in delivering state-of-the-art data platform solutions. Since its inception in 2008, Mactores has empowered businesses to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are automated, agile, and secure. We partner with clients to strategize, navigate, and expedite their digital transformation journey through assessments, migrations, and modernization efforts.We are in search of a skilled Senior AWS Data Engineer to join our dynamic team. The ideal candidate will possess significant expertise in PySpark and SQL, with hands-on experience in building data pipelines utilizing Amazon EMR or Amazon Glue. A strong background in data modeling and user querying with Amazon Redshift or Snowflake, Amazon Athena, and Presto is essential. Additionally, candidates should be proficient in orchestration using Airflow.
Engineer and construct robust data pipelines utilizing AWS technologies including S3, Glue, PySpark, and EMR.Create and manage data processing scripts through Python and SQL.Enhance data storage and access efficiency using AWS database solutions such as RDS, Redshift, and DynamoDB.Establish diverse data warehousing structures tailored to distinct use cases.Apply your SQL proficiency and strong grasp of ETL processes and data modeling.Guarantee data accuracy and accessibility for clients, recognizing the implications of technical choices on business analytics and reporting.
Join our team as a Senior Lead Data Engineer!As a Senior Lead Data Engineer at Brillio, you will play a pivotal role in designing and implementing data solutions on AWS. You will lead a talented team in the AI & Data Engineering department, driving innovation and ensuring optimal data architecture. Your expertise in data engineering and cloud technologies will be crucial in delivering high-quality data solutions that empower our clients.
Mactores stands as a prominent figure in delivering cutting-edge data platform solutions tailored for businesses. Since its inception in 2008, Mactores has empowered organizations to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are automated, agile, and secure. We partner with our clients to strategize, navigate, and accelerate their digital transformation journey through assessments, migrations, and modernization initiatives.Mactores is on the lookout for a talented Senior AWS Data Engineer to join our dynamic team. The successful candidate will possess substantial expertise in PySpark and SQL, with a proven track record in building data pipelines utilizing Amazon EMR or Amazon Glue. Additionally, experience in data modeling and end-user querying is essential, having worked with platforms such as Amazon Redshift or Snowflake, Amazon Athena, and Presto. Proficiency in orchestration tools like Airflow is also required.
Role Overview minderacraft is hiring a Data Engineer in Chennai, Tamil Nadu, India. This position focuses on building and improving the company’s data infrastructure using AWS, Snowflake, and dbt. The role centers on designing, developing, and maintaining data pipelines that deliver reliable, high-quality data for business needs. What You Will Do Design and build data pipelines with AWS, Snowflake, and dbt Maintain and optimize existing data workflows to ensure timely and accurate data delivery Work with teams across the company to understand their data requirements and translate them into technical solutions Identify and resolve data issues to improve data quality Support and implement data governance practices What Helps You Succeed Hands-on experience with AWS, Snowflake, and dbt Strong analytical and problem-solving abilities Ability to communicate with both technical and non-technical teams Attention to data quality and process improvement
Role overview thinkahead seeks a Senior AWS Engineer based in Gurugram, Haryana. The position centers on designing and building scalable AWS infrastructure that supports a variety of client applications and services. Key responsibilities Design and implement AWS cloud infrastructure with a focus on reliability and scalability Monitor system performance and make improvements as needed Enhance security protocols across cloud environments Collaborate with teams from multiple disciplines to deliver effective solutions Collaboration This role involves frequent interaction with cross-functional teams. The goal is to ensure that applications and services meet client needs and comply with industry standards.
Role Overview Ensono is hiring an AWS Migration Engineer for its Chennai office. This role focuses on helping clients move their systems and workloads to Amazon Web Services (AWS). The engineer will play a key part in making these transitions efficient and secure. What You Will Do Work with teams across different functions to plan and carry out AWS migrations Design migration strategies tailored to client needs Implement migrations while following security protocols and industry best practices Support the improvement of cloud infrastructure and operational processes About the Team This position is part of a group focused on cloud projects and modernization. The work involves collaboration and the chance to contribute to projects that shape how clients use AWS.
The Senior Data Architect - AWS spearheads innovative data and analytics initiatives, focusing primarily on AWS cloud platforms. This pivotal role entails architecting, implementing, and overseeing enterprise-level data solutions, advanced analytics platforms, and machine learning infrastructure. The ideal candidate will be a data thought leader, crafting scalable, secure, and high-performance architectures that enhance business value through actionable insights and intelligent automation.Key Responsibilities:Data Architecture & Strategy: Develop and implement the enterprise data architecture strategy, establishing architectural standards and best practices for data lakes, warehouses, and streaming analytics. Lead modernization roadmaps for transitioning legacy systems to cloud-native AWS architectures.Platform Leadership: Direct the AWS data platform architecture, including Lakehouse and Data Mesh patterns, along with metadata management and data lineage. Design scalable data ingestion pipelines and processing frameworks utilizing tools such as Glue, EMR, and Step Functions.Machine Learning & MLOps: Create and execute end-to-end ML platforms and MLOps frameworks using Amazon SageMaker. Architect scalable inference solutions and automate ML pipelines for reproducible, version-controlled workflows.Cross-Platform Integration: Design hybrid and multi-cloud solutions that connect AWS with Azure and on-premises systems. Develop unified data access patterns and federated query capabilities.Governance & Security: Establish comprehensive data governance and security frameworks, including encryption, fine-grained access control, and automated data quality validation pipelines. Ensure compliance with regulatory standards such as GDPR and CCPA.Team Leadership: Build and mentor high-performing teams of data and ML engineers. Conduct architecture reviews and collaborate with data scientists and business stakeholders to translate analytical requirements into robust technical solutions.
Mactores is a leading provider of modern data platform solutions, dedicated to empowering businesses since 2008. Our mission is to help organizations unlock their potential through innovative automation and comprehensive End-to-End Data Solutions that are agile, secure, and tailored to meet their unique needs. We partner with clients to develop strategies that drive successful digital transformations, whether through assessments, migrations, or modernization efforts.We are currently seeking a Senior AWS DevOps Engineer who possesses a robust expertise in Infrastructure as Code (IaC), configuration management, continuous integration (CI), continuous deployment (CD), and automated monitoring of big data workloads, enterprise applications, and databases. In this role, you will bring hands-on technical proficiency and a strong background in professional services, along with exceptional client-facing skills.If you are driven by a passion for cloud deployment best practices and committed to exceeding customer expectations, we invite you to join Team Mactores. Enjoy a relaxed and vibrant office environment that fosters creativity and productivity while allowing you to be your authentic self as part of a world-class team.
Join Experian as a Data Architect specializing in Cloud Data & Analytics with a focus on AWS. In this role, you will leverage your expertise in cloud technologies to design and implement robust data architecture solutions that drive business intelligence and analytics capabilities. Collaborate with cross-functional teams to ensure data integrity and optimize data flow, enabling data-driven decision-making across the organization.
Join Experian as a Staff Engineer where you will leverage your expertise in Java, Scala, and AWS to drive innovation and enhance our cloud-based solutions. You will work closely with cross-functional teams to design, develop, and implement scalable applications that make a significant impact in the data analytics space.
We are seeking a skilled Data Engineering Architect to lead our data engineering initiatives at LingaRo Group. In this role, you will design and implement innovative data solutions that drive business intelligence and analytics. You will collaborate with cross-functional teams to ensure data architecture aligns with organizational goals and supports data-driven decision-making. Your expertise in data modeling, ETL processes, and cloud technologies will be essential to our success.
Role Overview:We are on the lookout for a dynamic Big Data Lead who will play a pivotal role in taking our data capabilities to the next level. Your primary focus will be on solving intricate data challenges using cutting-edge big data technologies, dedicating almost 50% of your time to hands-on coding tasks.Key Responsibilities:Develop and manage large-scale text data processing and event-driven data pipelines, optimizing performance across CPU, network IO, and disk IO.Utilize cloud-native services on platforms such as AWS and GCP to enhance data processing and storage capabilities.About You:You possess a strong foundation in computer engineering, with expertise in Unix, data structures, and algorithms.You have successfully designed and implemented multiple big data modules and data pipelines capable of handling vast volumes of data.Passionate about technology, you have experience in initiating and executing projects from the ground up.
Job Title: AWS Migration Engineer / Consultant Job Summary:As part of Ensono’s expanding Cloud Consultancy team, we are seeking a talented AWS Migration Engineer to drive complex cloud transformation initiatives. Our projects range from traditional lift-and-shift migrations to innovative platform modernization, such as transitioning from virtual machines to PaaS or serverless environments. This role provides an opportunity to deliver exceptional migration solutions for enterprise clients using AWS public cloud services. In this position, you will partner closely with senior architects, clients, and delivery teams to ensure seamless migrations to AWS cloud environments. Your expertise will be critical in executing migration projects, deploying AWS services, implementing automation, and ensuring smooth transitions from on-premises infrastructure to the cloud. This role is ideal for candidates with substantial hands-on experience in AWS migrations.
Mactores stands at the forefront of delivering innovative data platform solutions to businesses. Since 2008, we have empowered organizations to enhance their operational efficiency through cutting-edge automation, providing comprehensive, agile, and secure data solutions. Our collaborative approach ensures that clients receive tailored strategies for navigating their digital transformation journeys, whether through assessments, migrations, or modernization efforts.We are on the lookout for a highly skilled Senior DevOps Engineer to spearhead complex cloud modernization projects, particularly large-scale migrations from VMware to AWS. In this role, you will be responsible for architecting secure, scalable, and production-ready AWS environments. You will design Landing Zones, build and optimize EKS-based container platforms, implement Infrastructure as Code using Terraform and CloudFormation, and enhance automation across provisioning, deployment, monitoring, and operational processes. Your hands-on experience with CI/CD pipelines, configuration management, cloud-native architectures, and enterprise-level security, high availability, and disaster recovery strategies will be instrumental. This role calls for strong technical leadership, collaboration with cross-functional teams, and mentorship of junior engineers while shaping long-term infrastructure strategies. If you thrive in dynamic environments and are passionate about tackling complex cloud challenges with a dedicated team committed to excellence and innovation, then Mactores is the perfect fit for you.
Role Overview Paytm seeks a Principal Engineer - Data DevOps for its Noida, Uttar Pradesh office. This role leads the development, management, and optimization of secure, large-scale big data platforms. The position calls for a blend of technical depth and leadership, driving best practices in cloud infrastructure, automation, CI/CD, and big data technologies. The Principal Engineer will guide cross-functional goals, mentor engineers, and ensure delivery of scalable data solutions. Main Responsibilities Lead, mentor, and develop a high-performing Data DevOps team with a focus on technical excellence and accountability. Direct the architecture, design, and implementation of cloud and data infrastructures to meet scalability, performance, and security needs. Work closely with Data Engineering, Data Science, Analytics, and Product teams to deliver reliable and efficient data platforms. Manage and optimize AWS-based infrastructure, including VPC, EC2, S3, EMR, EKS, SageMaker, Lambda, CloudFront, CloudWatch, and IAM. Scale and oversee big data platforms using Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Looker, and Jupyter Notebooks. Establish and maintain CI/CD pipelines and infrastructure automation with Terraform, Ansible, and CloudFormation. Ensure observability, proactive incident management, and compliance with SLAs. Promote cloud security practices, including API security, TLS/HTTPS, and access control policies. Collaborate with stakeholders to set priorities, manage budgets, and optimize cloud and operational spending. Required Qualifications At least 8 years of experience in DevOps, Data DevOps, or related fields, with a minimum of 4 years in a leadership role. Demonstrated success managing large-scale big data infrastructure and leading engineering teams. Hands-on expertise with AWS services and infrastructure automation tools such as Terraform, Ansible, and CloudFormation. Extensive experience with Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Jupyter Notebooks, and Looker. Proficiency with Kubernetes/EKS, Docker, ECS, and CI/CD tools. Strong understanding of networking, cloud security, and compliance requirements. Excellent communication, stakeholder management, and decision-making skills. Familiarity with SQL and data query optimization is considered a plus.
Nium is revolutionizing the global payments landscape by providing cutting-edge infrastructure for real-time cross-border transactions. Founded to create the payment solutions of the future, we are developing a programmable, borderless, and compliant money movement platform that facilitates transactions between individuals, businesses, and smart systems. Our solutions empower banks, fintech companies, payroll providers, travel platforms, marketplaces, and other global enterprises to execute instant money transfers worldwide.With dual headquarters in San Francisco and Singapore, our presence spans 14 markets, with a diverse team of professionals across more than 20 countries. Our culture is rooted in the principles of simplicity, continuous improvement, and teamwork. Having achieved record revenue and transaction volumes in 2025, we are poised to enter an exciting new phase of growth. We believe that the best collaborations occur face-to-face, which is why we adopt a hybrid working model with three in-office days each week to foster innovation and alignment.We facilitate over $50 billion in transactions annually, operating a network that covers over 190 countries, supports 100 currencies, and maintains 100 real-time payment corridors. Our services include swift payouts to accounts, wallets, and cards, local collections in 35 markets, and card issuance in 34 countries, all supported by licenses in over 40 markets.Having raised over $300 million to date, Nium offers passionate builders a unique opportunity to influence the future of global money movement at scale.The RoleAs a pivotal member of our India-based Data Engineering team, you will play a key role in transforming our data platform while migrating from on-premises systems to the AWS cloud. This position goes beyond technical responsibilities; you will collaborate with product, engineering, analytics, and business teams to design and implement high-quality, scalable data solutions that enable real-time payments and data-driven decision-making. You will work with modern tools such as Airflow, Redshift, dbt, and Kafka, contributing to impactful projects and tackling complex technical challenges that support millions of users globally. If you are eager to learn, collaborate, and build robust data platforms at scale, this role presents a significant opportunity for professional growth.
Role OverviewJoin our dynamic team as an AWS Data Engineer! We are looking for a talented individual with 4–7 years of experience in data engineering to architect and develop cloud-native data pipelines. Your innovative contributions will play a vital role in enhancing our data engineering practices, fostering collaboration across teams, and delivering secur…
Full-time|₹1.5M/yr - ₹4M/yr|On-site|Amaravathi, Andhra Pradesh, India
Join a leading client of Weekday as an AWS Data Engineer!We are seeking a highly skilled AWS Data Engineer with a passion for designing, developing, and optimizing scalable data solutions within cloud environments. This full-time position emphasizes the importance of creating robust data pipelines that enhance data processing efficiency and support analytics and reporting initiatives.As an integral member of our cross-functional teams, you will ensure that data is reliable, accessible, and aligned with business objectives. Your expertise in AWS data services and hands-on experience in managing extensive data environments will be crucial in maintaining seamless data operations from ingestion to consumption while upholding performance and reliability standards.
Join our talented team at Endava as an AWS Cloud Data Engineer in Bengaluru. In this role, you will be responsible for designing and implementing data solutions on the AWS platform, ensuring the integrity and efficiency of data processes. You will collaborate with cross-functional teams to deliver robust data pipelines and analytics solutions, contributing significantly to our clients' success.
Mactores is a pioneering leader in delivering state-of-the-art data platform solutions. Since its inception in 2008, Mactores has empowered businesses to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are automated, agile, and secure. We partner with clients to strategize, navigate, and expedite their digital transformation journey through assessments, migrations, and modernization efforts.We are in search of a skilled Senior AWS Data Engineer to join our dynamic team. The ideal candidate will possess significant expertise in PySpark and SQL, with hands-on experience in building data pipelines utilizing Amazon EMR or Amazon Glue. A strong background in data modeling and user querying with Amazon Redshift or Snowflake, Amazon Athena, and Presto is essential. Additionally, candidates should be proficient in orchestration using Airflow.
Engineer and construct robust data pipelines utilizing AWS technologies including S3, Glue, PySpark, and EMR.Create and manage data processing scripts through Python and SQL.Enhance data storage and access efficiency using AWS database solutions such as RDS, Redshift, and DynamoDB.Establish diverse data warehousing structures tailored to distinct use cases.Apply your SQL proficiency and strong grasp of ETL processes and data modeling.Guarantee data accuracy and accessibility for clients, recognizing the implications of technical choices on business analytics and reporting.
Join our team as a Senior Lead Data Engineer!As a Senior Lead Data Engineer at Brillio, you will play a pivotal role in designing and implementing data solutions on AWS. You will lead a talented team in the AI & Data Engineering department, driving innovation and ensuring optimal data architecture. Your expertise in data engineering and cloud technologies will be crucial in delivering high-quality data solutions that empower our clients.
Mactores stands as a prominent figure in delivering cutting-edge data platform solutions tailored for businesses. Since its inception in 2008, Mactores has empowered organizations to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are automated, agile, and secure. We partner with our clients to strategize, navigate, and accelerate their digital transformation journey through assessments, migrations, and modernization initiatives.Mactores is on the lookout for a talented Senior AWS Data Engineer to join our dynamic team. The successful candidate will possess substantial expertise in PySpark and SQL, with a proven track record in building data pipelines utilizing Amazon EMR or Amazon Glue. Additionally, experience in data modeling and end-user querying is essential, having worked with platforms such as Amazon Redshift or Snowflake, Amazon Athena, and Presto. Proficiency in orchestration tools like Airflow is also required.
Role Overview minderacraft is hiring a Data Engineer in Chennai, Tamil Nadu, India. This position focuses on building and improving the company’s data infrastructure using AWS, Snowflake, and dbt. The role centers on designing, developing, and maintaining data pipelines that deliver reliable, high-quality data for business needs. What You Will Do Design and build data pipelines with AWS, Snowflake, and dbt Maintain and optimize existing data workflows to ensure timely and accurate data delivery Work with teams across the company to understand their data requirements and translate them into technical solutions Identify and resolve data issues to improve data quality Support and implement data governance practices What Helps You Succeed Hands-on experience with AWS, Snowflake, and dbt Strong analytical and problem-solving abilities Ability to communicate with both technical and non-technical teams Attention to data quality and process improvement
Role overview thinkahead seeks a Senior AWS Engineer based in Gurugram, Haryana. The position centers on designing and building scalable AWS infrastructure that supports a variety of client applications and services. Key responsibilities Design and implement AWS cloud infrastructure with a focus on reliability and scalability Monitor system performance and make improvements as needed Enhance security protocols across cloud environments Collaborate with teams from multiple disciplines to deliver effective solutions Collaboration This role involves frequent interaction with cross-functional teams. The goal is to ensure that applications and services meet client needs and comply with industry standards.
Role Overview Ensono is hiring an AWS Migration Engineer for its Chennai office. This role focuses on helping clients move their systems and workloads to Amazon Web Services (AWS). The engineer will play a key part in making these transitions efficient and secure. What You Will Do Work with teams across different functions to plan and carry out AWS migrations Design migration strategies tailored to client needs Implement migrations while following security protocols and industry best practices Support the improvement of cloud infrastructure and operational processes About the Team This position is part of a group focused on cloud projects and modernization. The work involves collaboration and the chance to contribute to projects that shape how clients use AWS.
The Senior Data Architect - AWS spearheads innovative data and analytics initiatives, focusing primarily on AWS cloud platforms. This pivotal role entails architecting, implementing, and overseeing enterprise-level data solutions, advanced analytics platforms, and machine learning infrastructure. The ideal candidate will be a data thought leader, crafting scalable, secure, and high-performance architectures that enhance business value through actionable insights and intelligent automation.Key Responsibilities:Data Architecture & Strategy: Develop and implement the enterprise data architecture strategy, establishing architectural standards and best practices for data lakes, warehouses, and streaming analytics. Lead modernization roadmaps for transitioning legacy systems to cloud-native AWS architectures.Platform Leadership: Direct the AWS data platform architecture, including Lakehouse and Data Mesh patterns, along with metadata management and data lineage. Design scalable data ingestion pipelines and processing frameworks utilizing tools such as Glue, EMR, and Step Functions.Machine Learning & MLOps: Create and execute end-to-end ML platforms and MLOps frameworks using Amazon SageMaker. Architect scalable inference solutions and automate ML pipelines for reproducible, version-controlled workflows.Cross-Platform Integration: Design hybrid and multi-cloud solutions that connect AWS with Azure and on-premises systems. Develop unified data access patterns and federated query capabilities.Governance & Security: Establish comprehensive data governance and security frameworks, including encryption, fine-grained access control, and automated data quality validation pipelines. Ensure compliance with regulatory standards such as GDPR and CCPA.Team Leadership: Build and mentor high-performing teams of data and ML engineers. Conduct architecture reviews and collaborate with data scientists and business stakeholders to translate analytical requirements into robust technical solutions.
Mactores is a leading provider of modern data platform solutions, dedicated to empowering businesses since 2008. Our mission is to help organizations unlock their potential through innovative automation and comprehensive End-to-End Data Solutions that are agile, secure, and tailored to meet their unique needs. We partner with clients to develop strategies that drive successful digital transformations, whether through assessments, migrations, or modernization efforts.We are currently seeking a Senior AWS DevOps Engineer who possesses a robust expertise in Infrastructure as Code (IaC), configuration management, continuous integration (CI), continuous deployment (CD), and automated monitoring of big data workloads, enterprise applications, and databases. In this role, you will bring hands-on technical proficiency and a strong background in professional services, along with exceptional client-facing skills.If you are driven by a passion for cloud deployment best practices and committed to exceeding customer expectations, we invite you to join Team Mactores. Enjoy a relaxed and vibrant office environment that fosters creativity and productivity while allowing you to be your authentic self as part of a world-class team.
Join Experian as a Data Architect specializing in Cloud Data & Analytics with a focus on AWS. In this role, you will leverage your expertise in cloud technologies to design and implement robust data architecture solutions that drive business intelligence and analytics capabilities. Collaborate with cross-functional teams to ensure data integrity and optimize data flow, enabling data-driven decision-making across the organization.
Join Experian as a Staff Engineer where you will leverage your expertise in Java, Scala, and AWS to drive innovation and enhance our cloud-based solutions. You will work closely with cross-functional teams to design, develop, and implement scalable applications that make a significant impact in the data analytics space.
We are seeking a skilled Data Engineering Architect to lead our data engineering initiatives at LingaRo Group. In this role, you will design and implement innovative data solutions that drive business intelligence and analytics. You will collaborate with cross-functional teams to ensure data architecture aligns with organizational goals and supports data-driven decision-making. Your expertise in data modeling, ETL processes, and cloud technologies will be essential to our success.
Role Overview:We are on the lookout for a dynamic Big Data Lead who will play a pivotal role in taking our data capabilities to the next level. Your primary focus will be on solving intricate data challenges using cutting-edge big data technologies, dedicating almost 50% of your time to hands-on coding tasks.Key Responsibilities:Develop and manage large-scale text data processing and event-driven data pipelines, optimizing performance across CPU, network IO, and disk IO.Utilize cloud-native services on platforms such as AWS and GCP to enhance data processing and storage capabilities.About You:You possess a strong foundation in computer engineering, with expertise in Unix, data structures, and algorithms.You have successfully designed and implemented multiple big data modules and data pipelines capable of handling vast volumes of data.Passionate about technology, you have experience in initiating and executing projects from the ground up.
Job Title: AWS Migration Engineer / Consultant Job Summary:As part of Ensono’s expanding Cloud Consultancy team, we are seeking a talented AWS Migration Engineer to drive complex cloud transformation initiatives. Our projects range from traditional lift-and-shift migrations to innovative platform modernization, such as transitioning from virtual machines to PaaS or serverless environments. This role provides an opportunity to deliver exceptional migration solutions for enterprise clients using AWS public cloud services. In this position, you will partner closely with senior architects, clients, and delivery teams to ensure seamless migrations to AWS cloud environments. Your expertise will be critical in executing migration projects, deploying AWS services, implementing automation, and ensuring smooth transitions from on-premises infrastructure to the cloud. This role is ideal for candidates with substantial hands-on experience in AWS migrations.
Mactores stands at the forefront of delivering innovative data platform solutions to businesses. Since 2008, we have empowered organizations to enhance their operational efficiency through cutting-edge automation, providing comprehensive, agile, and secure data solutions. Our collaborative approach ensures that clients receive tailored strategies for navigating their digital transformation journeys, whether through assessments, migrations, or modernization efforts.We are on the lookout for a highly skilled Senior DevOps Engineer to spearhead complex cloud modernization projects, particularly large-scale migrations from VMware to AWS. In this role, you will be responsible for architecting secure, scalable, and production-ready AWS environments. You will design Landing Zones, build and optimize EKS-based container platforms, implement Infrastructure as Code using Terraform and CloudFormation, and enhance automation across provisioning, deployment, monitoring, and operational processes. Your hands-on experience with CI/CD pipelines, configuration management, cloud-native architectures, and enterprise-level security, high availability, and disaster recovery strategies will be instrumental. This role calls for strong technical leadership, collaboration with cross-functional teams, and mentorship of junior engineers while shaping long-term infrastructure strategies. If you thrive in dynamic environments and are passionate about tackling complex cloud challenges with a dedicated team committed to excellence and innovation, then Mactores is the perfect fit for you.
Role Overview Paytm seeks a Principal Engineer - Data DevOps for its Noida, Uttar Pradesh office. This role leads the development, management, and optimization of secure, large-scale big data platforms. The position calls for a blend of technical depth and leadership, driving best practices in cloud infrastructure, automation, CI/CD, and big data technologies. The Principal Engineer will guide cross-functional goals, mentor engineers, and ensure delivery of scalable data solutions. Main Responsibilities Lead, mentor, and develop a high-performing Data DevOps team with a focus on technical excellence and accountability. Direct the architecture, design, and implementation of cloud and data infrastructures to meet scalability, performance, and security needs. Work closely with Data Engineering, Data Science, Analytics, and Product teams to deliver reliable and efficient data platforms. Manage and optimize AWS-based infrastructure, including VPC, EC2, S3, EMR, EKS, SageMaker, Lambda, CloudFront, CloudWatch, and IAM. Scale and oversee big data platforms using Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Looker, and Jupyter Notebooks. Establish and maintain CI/CD pipelines and infrastructure automation with Terraform, Ansible, and CloudFormation. Ensure observability, proactive incident management, and compliance with SLAs. Promote cloud security practices, including API security, TLS/HTTPS, and access control policies. Collaborate with stakeholders to set priorities, manage budgets, and optimize cloud and operational spending. Required Qualifications At least 8 years of experience in DevOps, Data DevOps, or related fields, with a minimum of 4 years in a leadership role. Demonstrated success managing large-scale big data infrastructure and leading engineering teams. Hands-on expertise with AWS services and infrastructure automation tools such as Terraform, Ansible, and CloudFormation. Extensive experience with Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Jupyter Notebooks, and Looker. Proficiency with Kubernetes/EKS, Docker, ECS, and CI/CD tools. Strong understanding of networking, cloud security, and compliance requirements. Excellent communication, stakeholder management, and decision-making skills. Familiarity with SQL and data query optimization is considered a plus.
Nium is revolutionizing the global payments landscape by providing cutting-edge infrastructure for real-time cross-border transactions. Founded to create the payment solutions of the future, we are developing a programmable, borderless, and compliant money movement platform that facilitates transactions between individuals, businesses, and smart systems. Our solutions empower banks, fintech companies, payroll providers, travel platforms, marketplaces, and other global enterprises to execute instant money transfers worldwide.With dual headquarters in San Francisco and Singapore, our presence spans 14 markets, with a diverse team of professionals across more than 20 countries. Our culture is rooted in the principles of simplicity, continuous improvement, and teamwork. Having achieved record revenue and transaction volumes in 2025, we are poised to enter an exciting new phase of growth. We believe that the best collaborations occur face-to-face, which is why we adopt a hybrid working model with three in-office days each week to foster innovation and alignment.We facilitate over $50 billion in transactions annually, operating a network that covers over 190 countries, supports 100 currencies, and maintains 100 real-time payment corridors. Our services include swift payouts to accounts, wallets, and cards, local collections in 35 markets, and card issuance in 34 countries, all supported by licenses in over 40 markets.Having raised over $300 million to date, Nium offers passionate builders a unique opportunity to influence the future of global money movement at scale.The RoleAs a pivotal member of our India-based Data Engineering team, you will play a key role in transforming our data platform while migrating from on-premises systems to the AWS cloud. This position goes beyond technical responsibilities; you will collaborate with product, engineering, analytics, and business teams to design and implement high-quality, scalable data solutions that enable real-time payments and data-driven decision-making. You will work with modern tools such as Airflow, Redshift, dbt, and Kafka, contributing to impactful projects and tackling complex technical challenges that support millions of users globally. If you are eager to learn, collaborate, and build robust data platforms at scale, this role presents a significant opportunity for professional growth.
