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About the job
Join Saviynt, a pioneering company at the forefront of identity security, where we leverage AI to safeguard access to organizational applications, data, and business processes. Our cutting-edge identity platform is trusted by leading brands, Fortune 500 companies, and government institutions to enhance operational efficiency and minimize compliance costs. As the demand for secure AI deployment grows, Saviynt is leading the charge in empowering businesses to navigate this transition safely. For further insights, please visit www.saviynt.com.
SAVIYNT LABS
This position is part of Saviynt Labs, where we design, develop, and manage leading Enterprise Identity solutions. Our innovative product teams are dedicated to creating industry-leading solutions, while our engineering teams focus on building and operating SaaS software utilizing state-of-the-art technologies. We prioritize engineering excellence and attract top talent within the industry. Our cloud services are deployed on AWS, GCP, and Azure, ensuring a global reach. Our clients appreciate our commitment to innovation, collaborating with us to enhance customer experiences at scale.
Join Saviynt, a pioneering company at the forefront of identity security, where we leverage AI to safeguard access to organizational applications, data, and business processes. Our cutting-edge identity platform is trusted by leading brands, Fortune 500 companies, and government institutions to enhance operational efficiency and minimize compliance costs. As…
Join Saviynt, a pioneering identity authority platform dedicated to enhancing security and efficiency in the workplace. As organizations navigate the complexities of digital transformation, Saviynt's Enterprise Identity Cloud empowers businesses with unmatched visibility and control, enabling them to safeguard against cyber threats while granting users the precise access they require to excel in their roles.At Saviynt, we are committed to delivering leading Enterprise Identity solutions. Our innovative product teams constantly push the boundaries of technology, and our engineering teams are at the forefront of SaaS development, utilizing cutting-edge technologies. Our cloud services span AWS, GCP, and Azure, allowing us to serve clients globally. Our customers appreciate our dedication to building a future-proof customer experience at scale.
Position: Module Lead / Technical LeadLocation: BengaluruExperience: 5 – 9 YearsJob Description:Proficient in Core Java with experience in Network Management Systems (NMS) or Element Management Systems (EMS) within the telecom domain.Strong J2EE experience, specifically with at least two of the following frameworks: Spring, Hibernate, REST, or SOAP.Familiarity with telecom domains such as L2 (Ethernet), L3 (MPLS), Optical (Sonet, SDH), or Cable Modem (Docsis) is essential.Experience in provisioning and configuration is a plus, but not mandatory.Knowledge of EMS/NMS FCAPS, particularly in Fault and Configuration modules is preferred.
Job Title: Data Engineer (PySpark)________________________________________About the RoleWe invite you to join our dynamic data engineering team as a proficient Data Engineer specializing in PySpark and the Cloudera Data Platform (CDP). In this pivotal role, you will be tasked with architecting, developing, and sustaining robust data pipelines that guarantee exceptional data quality and accessibility throughout the organization. Your expertise in big data ecosystems, cloud-native technologies, and sophisticated data processing methodologies is essential.The ideal candidate will possess extensive hands-on experience in data ingestion, transformation, and optimization on the Cloudera Data Platform, complemented by a strong history of applying data engineering best practices. You will collaborate closely with fellow data engineers to devise solutions that foster significant business insights.Key ResponsibilitiesDesign and develop scalable ETL pipelines using PySpark on CDP, ensuring data integrity.Manage data ingestion processes from diverse sources (e.g., relational databases, APIs, file systems) to the data lake or warehouse on CDP.Utilize PySpark for processing, cleansing, and transforming vast datasets to meet analytical and business needs.Optimize performance by fine-tuning PySpark code and Cloudera components to enhance resource utilization.Establish data quality checks and validation routines to maintain data accuracy throughout the pipeline.Automate workflows using orchestration tools like Apache Oozie or Airflow within the Cloudera ecosystem.Monitor pipeline performance, troubleshoot issues, and maintain the Cloudera Data Platform and associated processes.Collaborate with data engineers, analysts, product managers, and other stakeholders to understand data requirements.Document data engineering processes, code, and pipeline configurations thoroughly.QualificationsBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline.3+ years of experience as a Data Engineer, focusing on PySpark and the Cloudera Data Platform.
Join Continental as a Data Engineering IT Engineer in our innovative team in Bengaluru. In this role, you will be responsible for designing and implementing data solutions that drive business intelligence and analytics. You will work closely with cross-functional teams to enhance data architecture and ensure data integrity, enabling data-driven decision-making across the organization.Your expertise in data processing and engineering will be crucial as you develop scalable data pipelines and optimize data workflows. This is an exciting opportunity to contribute to cutting-edge projects and make a significant impact on our technological landscape.
We are seeking an experienced Java J2EE Developer with a strong background in network programming and Remote Procedure Call (RPC) technologies. The ideal candidate will have a passion for developing robust applications and a keen interest in enhancing system performance through innovative solutions.
About the RoleJoin our dynamic team at Mindera as a Senior Java Backend Engineer. In this pivotal role, you will design and develop high-performance, scalable backend services, collaborating with cross-functional teams to create innovative solutions for large-scale distributed systems.Key ResponsibilitiesDesign, develop, and sustain backend services utilizing Java 21 and Spring Boot 3.x.x.Create and integrate RESTful APIs adhering to industry best practices.Develop comprehensive data models and queries for SQL Server and document-oriented structures in MongoDB.Implement caching strategies using Redis to enhance system performance.Leverage Kafka for event-driven architecture and message queuing.Deploy and manage microservices on Kubernetes (AKS).Utilize GitHub for source control, code reviews, and CI/CD processes.Collaborate with product and engineering teams to establish architecture and deliver solutions that meet high standards of performance, reliability, and security.Engage in code reviews, technical discussions, and mentor junior developers.Required Skills & ExperienceExtensive hands-on experience with Java 17+ (preferably Java 21).Demonstrated proficiency with Spring Boot 3.x.x and microservices architecture.Strong grasp of REST APIs, service design, and integration patterns.Robust database skills with:SQL Server (query optimization, stored procedures)MongoDB (schema design, indexing)Experience with Redis for caching mechanisms.Practical knowledge of Kafka as a messaging platform.Familiarity with Kubernetes, ideally AKS in Azure.Exposure to the Azure ecosystem and DevOps practices.Proficient in using GitHub for version control and CI/CD strategies.Sound understanding of cloud-native principles, monitoring, and logging.Strong analytical and problem-solving skills; ability to excel in an Agile work environment.Nice to HaveKnowledge of containerization with Docker.Familiarity with testing frameworks such as JUnit, Mockito, or Testcontainers.BenefitsWhat We OfferCompetitive salary packageAnnual performance-based bonusAccess to Udemy online training and professional development opportunities
Lead Engineer, Quality Engineering At Code and Theory, we are on the lookout for a Quality Assurance Lead who possesses a wealth of experience in scaling QA automation within professional services. Join our dedicated quality engineering team to ensure our web experiences uphold the highest standards of excellence. Your role will involve designing and executing robust automated testing procedures to maintain the quality of our software products. You will work closely with engineering and product teams to spearhead the development of our automation initiatives, diving into complex functionality to guarantee the delivery of high-quality software. As a champion for a culture of automation, you will implement frameworks and CI/CD structures that empower QA across the organization. While managing significant accounts (Fortune 50/100), you will maintain a tactical focus, ensuring the technical health of multiple projects while customizing automated solutions to meet client KPIs. Providing technical mentorship to engineering teams will be a key aspect of your responsibilities. You are a fervent advocate for software quality, with a proven track record of building stable frameworks and driving continuous improvement using modern tools and methodologies.
Position: Big Data Lead & DeveloperExperience: 8-10 yearsLocation: BengaluruIndustry: TelecommunicationsEmployment Type: Full-time Visa Sponsorship: Available for on-site client workCore Competency: In-depth knowledge of the data management landscape with a strong grasp of core Big Data design patterns and challenges in data analytics, modeling, quality improvement, and data management implementation. Proficient in technologies such as Hadoop, Spark, Amazon Web Services, Google Cloud Platform, and Microsoft Azure.Position Overview: The Big Data Lead will spearhead the design and development of scalable and distributed applications utilizing the Hadoop Technology Stack, including Apache Pig, Apache Hive, and HDFS.Key Responsibilities:Develop cutting-edge ICT big data solutions that integrate existing systems with new data analytics strategies.Design, test, deploy, and document Big Data platforms and analytical procedures.Deliver scalable and distributed applications utilizing Hadoop technologies.Provide efficient solutions based on project requirements.Implement Map/Reduce jobs, UDFs, and tune the performance of Hadoop jobs.Collaborate with data scientists, analysts, and product management to summarize data analysis results for business decision-making.Document functional processes within data quality applications.Research and assess the suitability of various technologies to advise on optimal project solutions.
We are seeking an experienced Senior Software Engineer to take the lead on the technical roadmap of our data platform team, which is composed of 5-10 talented engineers who may still be developing their skills.In this role, your responsibilities will include:Defining and updating the technical roadmap for the upcoming months.Mentoring junior engineers through code reviews and imparting knowledge on coding and design best practices.Developing and designing systems for new features and fixing bugs.Ensuring operational excellence by monitoring production systems.
Join Jiostar as a Staff Software Development Engineer specializing in Java. In this role, you will be at the forefront of developing innovative software solutions that drive our business forward. Collaborate with a talented team to design, implement, and optimize high-performance applications that meet our clients' needs.
Teamwork makes the stream work. Roku is revolutionizing the way the world experiences televisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to empower every television globally. With a pioneering spirit, we connect users to their favorite content, support content creators in growing their audiences, and provide advertisers with innovative ways to engage viewers.From your first day at Roku, you'll be an integral part of our journey. As a fast-growing public company, everyone here plays a crucial role. Join us in delighting millions of TV streamers worldwide while gaining invaluable experience across various disciplines. About the TeamThe Roku Data Engineering team is dedicated to building a state-of-the-art big data platform that empowers both internal and external stakeholders to leverage data for business growth. Our team collaborates closely with business partners and engineering teams to gather metrics on essential initiatives for success. As a Senior Data Engineer focused on device metrics, you will design data models and develop scalable data pipelines to capture critical business metrics across our diverse range of Roku devices. About the RoleAt Roku, we connect users to the streaming content they love and enable content publishers to monetize large audiences while providing advertisers with unique capabilities to engage consumers. Our Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and partnerships with TV brands and pay-TV operators. With millions of devices sold in numerous countries, thousands of streaming channels, and billions of hours of content consumed, the development of a scalable, highly available, fault-tolerant big data platform is crucial to our success. This role is based in Bengaluru, India and requires hybrid work, with three days in the office. What You'll Be DoingDevelop and maintain highly scalable, fault-tolerant distributed data processing systems (both batch and streaming) handling terabytes of data ingested daily and managing a petabyte-sized data warehouse.Design and implement efficient data models and pipelines that support business growth and decision-making.
Join smallest as a Research Data Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage advanced data engineering skills to collect, analyze, and interpret complex datasets. Collaborate with cross-functional teams to drive innovative solutions and contribute to impactful research projects.
Welcome to Adyen At Adyen, we empower businesses with a comprehensive platform for payments, data, and financial solutions, serving renowned clients such as Meta, Uber, H&M, and Microsoft. Our commitment to innovation and ambition drives us to create a financial technology ecosystem that meets the evolving needs of our customers. We foster a culture where our team members can thrive, providing an environment rich with opportunities for personal and professional growth. Our motivated engineers tackle unique technical challenges collaboratively, enabling us to deliver ethical and impactful solutions that help businesses accelerate their success. Your Role as a Java Software Engineer Since the inception of our platform, our engineers have been at the forefront of transforming the financial technology landscape. As we continue to grow rapidly, we prioritize scalability in our design processes. You will engage with real-world challenges, crafting new functionalities and impactful solutions that empower our clients. In this role, you will oversee the complete software development lifecycle—from designing and coding to testing and ensuring successful deployment during our weekly release cycles. You will work with one of the largest PostgreSQL databases, crafting your own queries to integrate seamlessly within our low-latency API architecture.
Harness is an innovative AI Software Delivery Platform company founded by the visionary technologist and entrepreneur Jyoti Bansal, who previously established AppDynamics, which was acquired by Cisco for a staggering $3.7 billion. With approximately $570 million in funding, Harness is currently valued at $5.5 billion and supported by prestigious investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.As the landscape of software development evolves with the acceleration of AI-driven code creation, the focus has shifted to the broader aspects of software delivery, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline these processes, enabling teams to deliver software more swiftly while ensuring security and governance throughout the software delivery lifecycle.In the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, 3 trillion protected API calls, and managed $2.8 billion in cloud expenditure. Our solutions have empowered clients such as United Airlines, Morningstar, and Choice Hotels to amplify their release speeds by as much as 75%, cut cloud costs by up to 60%, and achieve a remarkable 10x increase in DevOps efficiency.With a diverse and global team across 14 offices spanning 25 countries, Harness is at the forefront of shaping the future of AI software delivery. We are on the lookout for exceptional talent to join our mission and propel us forward.Position SummaryWe are developing a cohesive data platform that will serve over 20 product modules, facilitating the ingestion, processing, and retrieval of data to empower analytics and systems at scale. This position is integral to the Data Activation & Analytics initiative under the Unified Data Platform framework, concentrating on creating a self-service analytics platform equipped with a semantic modeling layer, a domain-specific language (DSL) query layer, and an analytics materialization layer. The platform will enable product teams to construct custom dashboards independently, as well as provide readily embeddable analytics modules.About the RoleYou will spearhead the design, architecture, and development of this platform alongside senior architects, tackling complex challenges related to DSL-based query expressions, achieving sub-second read latency, multi-tenancy, high concurrency, and more.
Join our dynamic team as a Data Lakehouse IT Engineer where you will play a key role in designing and implementing cutting-edge data solutions. You will be responsible for managing data pipelines, ensuring data quality, and optimizing the data architecture to support our analytics initiatives. Your expertise in cloud technologies and data management will be crucial in driving our data strategy forward.
Role Overview weekday-1 is looking for a Data Engineer in Bengaluru, Karnataka. This role focuses on building and maintaining data pipelines to keep information moving smoothly across company systems. The work supports analytics and reporting that help guide business decisions. What You Will Do Design, implement, and maintain data pipelines Work with teams from different functions to understand data needs Support analytics efforts by ensuring reliable and accessible data Help deliver insights that improve business performance Location This position is based in Bengaluru, Karnataka, India.
Join Wabtec Corporation as an Associate Lead Engineer, where you will play a crucial role in engineering excellence and innovation. You will contribute to the design, development, and implementation of advanced technologies that drive our projects forward.
The OpportunityBecome a pivotal member of the Operations Analytics team at Hinge Health, where you will contribute to transforming our clinical operations through data-driven insights. As a Lead Data Analyst, you will serve as a key advisor to our product and operations leaders, tackling unprecedented challenges within the digital health domain. Your analyses will support a diverse range of stakeholders, including product managers and clinical leadership, enhancing product features and optimizing operational processes.What You’ll AccomplishMeasure Product Performance: Collaborate with product and engineering teams to assess product performance, execute feature experiments, and perform in-depth analyses to guide product roadmaps.Drive Analytics Initiatives: Spearhead analytics projects that span product development, member experiences, clinical outcomes, and business metrics.Uncover Key Drivers: Conduct root cause analyses to identify the fundamental factors influencing member behaviors and clinical results.Improve Instrumentation: Collaborate across departments to enhance the instrumentation and measurement of key metrics, providing clarity on business performance and highlighting areas for improvement.Advance Team Maturity: Propel the growth of the team and organization by developing data models, establishing best practices, and leveraging AI for self-service analytics.Who You AreLead at All Levels: You possess the capability to manage large-scale, complex projects, ensuring accountability for outcomes and delivering measurable business results.Hustle: You excel in navigating ambiguous challenges, creatively developing solutions with minimal oversight.Cross-Functional Partner: Your comprehensive understanding of operations, product, and engineering processes enables you to effectively partner with senior stakeholders.
Join WNS Global Services as an Assistant Manager in the Data Engineering team, where you will play a pivotal role in leveraging Snowflake and dbt SQL to drive data-driven decision-making. You will oversee data architecture, management, and analytics initiatives that enhance our business capabilities.
Join Saviynt, a pioneering company at the forefront of identity security, where we leverage AI to safeguard access to organizational applications, data, and business processes. Our cutting-edge identity platform is trusted by leading brands, Fortune 500 companies, and government institutions to enhance operational efficiency and minimize compliance costs. As…
Join Saviynt, a pioneering identity authority platform dedicated to enhancing security and efficiency in the workplace. As organizations navigate the complexities of digital transformation, Saviynt's Enterprise Identity Cloud empowers businesses with unmatched visibility and control, enabling them to safeguard against cyber threats while granting users the precise access they require to excel in their roles.At Saviynt, we are committed to delivering leading Enterprise Identity solutions. Our innovative product teams constantly push the boundaries of technology, and our engineering teams are at the forefront of SaaS development, utilizing cutting-edge technologies. Our cloud services span AWS, GCP, and Azure, allowing us to serve clients globally. Our customers appreciate our dedication to building a future-proof customer experience at scale.
Position: Module Lead / Technical LeadLocation: BengaluruExperience: 5 – 9 YearsJob Description:Proficient in Core Java with experience in Network Management Systems (NMS) or Element Management Systems (EMS) within the telecom domain.Strong J2EE experience, specifically with at least two of the following frameworks: Spring, Hibernate, REST, or SOAP.Familiarity with telecom domains such as L2 (Ethernet), L3 (MPLS), Optical (Sonet, SDH), or Cable Modem (Docsis) is essential.Experience in provisioning and configuration is a plus, but not mandatory.Knowledge of EMS/NMS FCAPS, particularly in Fault and Configuration modules is preferred.
Job Title: Data Engineer (PySpark)________________________________________About the RoleWe invite you to join our dynamic data engineering team as a proficient Data Engineer specializing in PySpark and the Cloudera Data Platform (CDP). In this pivotal role, you will be tasked with architecting, developing, and sustaining robust data pipelines that guarantee exceptional data quality and accessibility throughout the organization. Your expertise in big data ecosystems, cloud-native technologies, and sophisticated data processing methodologies is essential.The ideal candidate will possess extensive hands-on experience in data ingestion, transformation, and optimization on the Cloudera Data Platform, complemented by a strong history of applying data engineering best practices. You will collaborate closely with fellow data engineers to devise solutions that foster significant business insights.Key ResponsibilitiesDesign and develop scalable ETL pipelines using PySpark on CDP, ensuring data integrity.Manage data ingestion processes from diverse sources (e.g., relational databases, APIs, file systems) to the data lake or warehouse on CDP.Utilize PySpark for processing, cleansing, and transforming vast datasets to meet analytical and business needs.Optimize performance by fine-tuning PySpark code and Cloudera components to enhance resource utilization.Establish data quality checks and validation routines to maintain data accuracy throughout the pipeline.Automate workflows using orchestration tools like Apache Oozie or Airflow within the Cloudera ecosystem.Monitor pipeline performance, troubleshoot issues, and maintain the Cloudera Data Platform and associated processes.Collaborate with data engineers, analysts, product managers, and other stakeholders to understand data requirements.Document data engineering processes, code, and pipeline configurations thoroughly.QualificationsBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline.3+ years of experience as a Data Engineer, focusing on PySpark and the Cloudera Data Platform.
Join Continental as a Data Engineering IT Engineer in our innovative team in Bengaluru. In this role, you will be responsible for designing and implementing data solutions that drive business intelligence and analytics. You will work closely with cross-functional teams to enhance data architecture and ensure data integrity, enabling data-driven decision-making across the organization.Your expertise in data processing and engineering will be crucial as you develop scalable data pipelines and optimize data workflows. This is an exciting opportunity to contribute to cutting-edge projects and make a significant impact on our technological landscape.
We are seeking an experienced Java J2EE Developer with a strong background in network programming and Remote Procedure Call (RPC) technologies. The ideal candidate will have a passion for developing robust applications and a keen interest in enhancing system performance through innovative solutions.
About the RoleJoin our dynamic team at Mindera as a Senior Java Backend Engineer. In this pivotal role, you will design and develop high-performance, scalable backend services, collaborating with cross-functional teams to create innovative solutions for large-scale distributed systems.Key ResponsibilitiesDesign, develop, and sustain backend services utilizing Java 21 and Spring Boot 3.x.x.Create and integrate RESTful APIs adhering to industry best practices.Develop comprehensive data models and queries for SQL Server and document-oriented structures in MongoDB.Implement caching strategies using Redis to enhance system performance.Leverage Kafka for event-driven architecture and message queuing.Deploy and manage microservices on Kubernetes (AKS).Utilize GitHub for source control, code reviews, and CI/CD processes.Collaborate with product and engineering teams to establish architecture and deliver solutions that meet high standards of performance, reliability, and security.Engage in code reviews, technical discussions, and mentor junior developers.Required Skills & ExperienceExtensive hands-on experience with Java 17+ (preferably Java 21).Demonstrated proficiency with Spring Boot 3.x.x and microservices architecture.Strong grasp of REST APIs, service design, and integration patterns.Robust database skills with:SQL Server (query optimization, stored procedures)MongoDB (schema design, indexing)Experience with Redis for caching mechanisms.Practical knowledge of Kafka as a messaging platform.Familiarity with Kubernetes, ideally AKS in Azure.Exposure to the Azure ecosystem and DevOps practices.Proficient in using GitHub for version control and CI/CD strategies.Sound understanding of cloud-native principles, monitoring, and logging.Strong analytical and problem-solving skills; ability to excel in an Agile work environment.Nice to HaveKnowledge of containerization with Docker.Familiarity with testing frameworks such as JUnit, Mockito, or Testcontainers.BenefitsWhat We OfferCompetitive salary packageAnnual performance-based bonusAccess to Udemy online training and professional development opportunities
Lead Engineer, Quality Engineering At Code and Theory, we are on the lookout for a Quality Assurance Lead who possesses a wealth of experience in scaling QA automation within professional services. Join our dedicated quality engineering team to ensure our web experiences uphold the highest standards of excellence. Your role will involve designing and executing robust automated testing procedures to maintain the quality of our software products. You will work closely with engineering and product teams to spearhead the development of our automation initiatives, diving into complex functionality to guarantee the delivery of high-quality software. As a champion for a culture of automation, you will implement frameworks and CI/CD structures that empower QA across the organization. While managing significant accounts (Fortune 50/100), you will maintain a tactical focus, ensuring the technical health of multiple projects while customizing automated solutions to meet client KPIs. Providing technical mentorship to engineering teams will be a key aspect of your responsibilities. You are a fervent advocate for software quality, with a proven track record of building stable frameworks and driving continuous improvement using modern tools and methodologies.
Position: Big Data Lead & DeveloperExperience: 8-10 yearsLocation: BengaluruIndustry: TelecommunicationsEmployment Type: Full-time Visa Sponsorship: Available for on-site client workCore Competency: In-depth knowledge of the data management landscape with a strong grasp of core Big Data design patterns and challenges in data analytics, modeling, quality improvement, and data management implementation. Proficient in technologies such as Hadoop, Spark, Amazon Web Services, Google Cloud Platform, and Microsoft Azure.Position Overview: The Big Data Lead will spearhead the design and development of scalable and distributed applications utilizing the Hadoop Technology Stack, including Apache Pig, Apache Hive, and HDFS.Key Responsibilities:Develop cutting-edge ICT big data solutions that integrate existing systems with new data analytics strategies.Design, test, deploy, and document Big Data platforms and analytical procedures.Deliver scalable and distributed applications utilizing Hadoop technologies.Provide efficient solutions based on project requirements.Implement Map/Reduce jobs, UDFs, and tune the performance of Hadoop jobs.Collaborate with data scientists, analysts, and product management to summarize data analysis results for business decision-making.Document functional processes within data quality applications.Research and assess the suitability of various technologies to advise on optimal project solutions.
We are seeking an experienced Senior Software Engineer to take the lead on the technical roadmap of our data platform team, which is composed of 5-10 talented engineers who may still be developing their skills.In this role, your responsibilities will include:Defining and updating the technical roadmap for the upcoming months.Mentoring junior engineers through code reviews and imparting knowledge on coding and design best practices.Developing and designing systems for new features and fixing bugs.Ensuring operational excellence by monitoring production systems.
Join Jiostar as a Staff Software Development Engineer specializing in Java. In this role, you will be at the forefront of developing innovative software solutions that drive our business forward. Collaborate with a talented team to design, implement, and optimize high-performance applications that meet our clients' needs.
Teamwork makes the stream work. Roku is revolutionizing the way the world experiences televisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to empower every television globally. With a pioneering spirit, we connect users to their favorite content, support content creators in growing their audiences, and provide advertisers with innovative ways to engage viewers.From your first day at Roku, you'll be an integral part of our journey. As a fast-growing public company, everyone here plays a crucial role. Join us in delighting millions of TV streamers worldwide while gaining invaluable experience across various disciplines. About the TeamThe Roku Data Engineering team is dedicated to building a state-of-the-art big data platform that empowers both internal and external stakeholders to leverage data for business growth. Our team collaborates closely with business partners and engineering teams to gather metrics on essential initiatives for success. As a Senior Data Engineer focused on device metrics, you will design data models and develop scalable data pipelines to capture critical business metrics across our diverse range of Roku devices. About the RoleAt Roku, we connect users to the streaming content they love and enable content publishers to monetize large audiences while providing advertisers with unique capabilities to engage consumers. Our Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and partnerships with TV brands and pay-TV operators. With millions of devices sold in numerous countries, thousands of streaming channels, and billions of hours of content consumed, the development of a scalable, highly available, fault-tolerant big data platform is crucial to our success. This role is based in Bengaluru, India and requires hybrid work, with three days in the office. What You'll Be DoingDevelop and maintain highly scalable, fault-tolerant distributed data processing systems (both batch and streaming) handling terabytes of data ingested daily and managing a petabyte-sized data warehouse.Design and implement efficient data models and pipelines that support business growth and decision-making.
Join smallest as a Research Data Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage advanced data engineering skills to collect, analyze, and interpret complex datasets. Collaborate with cross-functional teams to drive innovative solutions and contribute to impactful research projects.
Welcome to Adyen At Adyen, we empower businesses with a comprehensive platform for payments, data, and financial solutions, serving renowned clients such as Meta, Uber, H&M, and Microsoft. Our commitment to innovation and ambition drives us to create a financial technology ecosystem that meets the evolving needs of our customers. We foster a culture where our team members can thrive, providing an environment rich with opportunities for personal and professional growth. Our motivated engineers tackle unique technical challenges collaboratively, enabling us to deliver ethical and impactful solutions that help businesses accelerate their success. Your Role as a Java Software Engineer Since the inception of our platform, our engineers have been at the forefront of transforming the financial technology landscape. As we continue to grow rapidly, we prioritize scalability in our design processes. You will engage with real-world challenges, crafting new functionalities and impactful solutions that empower our clients. In this role, you will oversee the complete software development lifecycle—from designing and coding to testing and ensuring successful deployment during our weekly release cycles. You will work with one of the largest PostgreSQL databases, crafting your own queries to integrate seamlessly within our low-latency API architecture.
Harness is an innovative AI Software Delivery Platform company founded by the visionary technologist and entrepreneur Jyoti Bansal, who previously established AppDynamics, which was acquired by Cisco for a staggering $3.7 billion. With approximately $570 million in funding, Harness is currently valued at $5.5 billion and supported by prestigious investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.As the landscape of software development evolves with the acceleration of AI-driven code creation, the focus has shifted to the broader aspects of software delivery, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline these processes, enabling teams to deliver software more swiftly while ensuring security and governance throughout the software delivery lifecycle.In the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, 3 trillion protected API calls, and managed $2.8 billion in cloud expenditure. Our solutions have empowered clients such as United Airlines, Morningstar, and Choice Hotels to amplify their release speeds by as much as 75%, cut cloud costs by up to 60%, and achieve a remarkable 10x increase in DevOps efficiency.With a diverse and global team across 14 offices spanning 25 countries, Harness is at the forefront of shaping the future of AI software delivery. We are on the lookout for exceptional talent to join our mission and propel us forward.Position SummaryWe are developing a cohesive data platform that will serve over 20 product modules, facilitating the ingestion, processing, and retrieval of data to empower analytics and systems at scale. This position is integral to the Data Activation & Analytics initiative under the Unified Data Platform framework, concentrating on creating a self-service analytics platform equipped with a semantic modeling layer, a domain-specific language (DSL) query layer, and an analytics materialization layer. The platform will enable product teams to construct custom dashboards independently, as well as provide readily embeddable analytics modules.About the RoleYou will spearhead the design, architecture, and development of this platform alongside senior architects, tackling complex challenges related to DSL-based query expressions, achieving sub-second read latency, multi-tenancy, high concurrency, and more.
Join our dynamic team as a Data Lakehouse IT Engineer where you will play a key role in designing and implementing cutting-edge data solutions. You will be responsible for managing data pipelines, ensuring data quality, and optimizing the data architecture to support our analytics initiatives. Your expertise in cloud technologies and data management will be crucial in driving our data strategy forward.
Role Overview weekday-1 is looking for a Data Engineer in Bengaluru, Karnataka. This role focuses on building and maintaining data pipelines to keep information moving smoothly across company systems. The work supports analytics and reporting that help guide business decisions. What You Will Do Design, implement, and maintain data pipelines Work with teams from different functions to understand data needs Support analytics efforts by ensuring reliable and accessible data Help deliver insights that improve business performance Location This position is based in Bengaluru, Karnataka, India.
Join Wabtec Corporation as an Associate Lead Engineer, where you will play a crucial role in engineering excellence and innovation. You will contribute to the design, development, and implementation of advanced technologies that drive our projects forward.
The OpportunityBecome a pivotal member of the Operations Analytics team at Hinge Health, where you will contribute to transforming our clinical operations through data-driven insights. As a Lead Data Analyst, you will serve as a key advisor to our product and operations leaders, tackling unprecedented challenges within the digital health domain. Your analyses will support a diverse range of stakeholders, including product managers and clinical leadership, enhancing product features and optimizing operational processes.What You’ll AccomplishMeasure Product Performance: Collaborate with product and engineering teams to assess product performance, execute feature experiments, and perform in-depth analyses to guide product roadmaps.Drive Analytics Initiatives: Spearhead analytics projects that span product development, member experiences, clinical outcomes, and business metrics.Uncover Key Drivers: Conduct root cause analyses to identify the fundamental factors influencing member behaviors and clinical results.Improve Instrumentation: Collaborate across departments to enhance the instrumentation and measurement of key metrics, providing clarity on business performance and highlighting areas for improvement.Advance Team Maturity: Propel the growth of the team and organization by developing data models, establishing best practices, and leveraging AI for self-service analytics.Who You AreLead at All Levels: You possess the capability to manage large-scale, complex projects, ensuring accountability for outcomes and delivering measurable business results.Hustle: You excel in navigating ambiguous challenges, creatively developing solutions with minimal oversight.Cross-Functional Partner: Your comprehensive understanding of operations, product, and engineering processes enables you to effectively partner with senior stakeholders.
Join WNS Global Services as an Assistant Manager in the Data Engineering team, where you will play a pivotal role in leveraging Snowflake and dbt SQL to drive data-driven decision-making. You will oversee data architecture, management, and analytics initiatives that enhance our business capabilities.
