Senior ETL Engineer

Join our dynamic team at Nagarro as a Senior ETL Engineer. In this pivotal role, you will leverage your expertise in Extract, Transform, Load (ETL) processes to design and implement data solutions that drive our business forward. You will work collaboratively with cross-functional teams to optimize data workflows and improve data quality.

About Us: We are the Data Platform domain teams within the Product and Development Business Area, empowering financial institutions to adopt, govern, and analyze data from Avaloq products across intricate enterprise ecosystems.Our mission is to establish reliable, analytics, and AI-ready data platforms, transforming Avaloq Core data into governed, reusable data products that drive reporting, analytics, automation, and cutting-edge AI use cases. We firmly believe that AI success is anchored in robust data foundations, semantics, and governance. What We’re Looking For: We seek a Senior Snowflake Data & AI Platform Engineer with extensive, hands-on experience in building production-grade analytical data platforms.In this pivotal role, you will be instrumental in scaling our Snowflake-based analytics platform, shaping data products, ensuring governance, and enabling AI capabilities, while serving as a technical reference point for both internal teams and clients. This position is tailored for seasoned professionals who prioritize platform-first thinking over project-first approaches. Key ResponsibilitiesSnowflake Analytics & Platform Engineering:Design and enhance Snowflake-native analytical data products.Create reusable, governed semantic datasets for positions, transactions, cash, performance, P&L, and risk.Utilize Snowflake native features like Dynamic Tables, Streams and Tasks, Secure Views, RBAC, data sharing, and strategies for cost and workload optimization.Data Semantics & ModelingConvert Avaloq Core Platform (ACP) structures into business-relevant analytical models.Employ contemporary modeling methods such as dimensional modeling and medallion or data product-oriented architectures.Establish consistent metrics, KPIs, and analytical domains that can be reused across clients.Ensure datasets are discoverable, well-documented, and reliable.Governance, Security & QualityImplement Snowflake-native governance frameworks including masking policies, row-level security, object tagging, and access policies. Integrate data quality, security, and trust into the platform by design.AI & Advanced Analytics EnablementPrepare the platform for enterprise-level AI applications.Facilitate AI and advanced analytics use cases leveraging Snowflake Cortex, Snowpark ML, vector search, and document intelligence.Emphasize AI enablement and operationalization rather than merely data science experimentation.Support analytics, intelligence, and automation scenarios across banking sectors.Collaboration & Technical LeadershipServe as a senior technical reference for Snowflake within the team.Collaborate with Product Managers, Architects, Analysts, and Engineers across various locations.Assist in proofs of concept and other technical initiatives.

At Nice, we embrace challenges without limits. We are ambitious innovators and strive to set the highest standards in everything we do. If you share our passion for pushing boundaries, we have the perfect career opportunity that will ignite your enthusiasm.What’s the role about?As a Senior DevOps Engineer in our Actimize Cloud team, you will be instrumental in designing, automating, and securing cloud-native infrastructures on AWS. This role involves hands-on work with Kubernetes (EKS), CI/CD pipelines, Infrastructure as Code (IaC) frameworks, and observability platforms, while collaborating closely with our R&D, CloudOps, AppOps, and Security teams.Your security expertise will be a significant asset, as you will help implement secure-by-default practices across our delivery pipelines and cloud environments.How will you contribute?Design, operate, and enhance cloud infrastructure utilizing AWS and Kubernetes.Develop and manage CI/CD pipelines (Jenkins, GitHub Actions) and GitOps workflows (Argo CD).Implement and maintain Infrastructure as Code using Terraform/OpenTofu.Contribute to system hardening, secure configurations, and cloud security controls.Integrate and maintain cloud monitoring, logging, and alerting systems.Collaborate with R&D and CloudOps teams to support deployment, scaling, and reliability.Troubleshoot production and pre-production environments, driving root cause analysis and fixes.Engage in cost-optimization initiatives, cloud hygiene, and automation enhancements.Assist in onboarding new regions, services, and infrastructure components.

Role: Senior Cloudera Developer (Data Engineer)Experience: 6 to 10 YearsLocation: PuneJob Description:Expertise in Spark programming and architecture, with a solid understanding of fault tolerance mechanisms.Proficient in utilizing Spark DataFrames and Spark SQL for querying structured datasets.Experience in optimizing Spark execution plans is advantageous.Skilled in performing Extract, Transform, Load (ETL) processes using Spark.Experience integrating Spark Streaming with technologies like Kafka is a plus.Familiarity with the Hadoop ecosystem, including HDFS, Hive, and Cloudera stack, is beneficial.Experience in deploying and managing Spark applications on Hadoop clusters or GCP Dataproc.Strong proficiency in Python, with experience in Java being a bonus.Familiar with DevOps tools and practices, including CI/CD and Docker.Hands-on experience with GCP services such as Dataproc, Cloud Functions, Cloud Run, Pub/Sub, and BigQuery.Responsibilities:Design and implement data solutions leveraging Cloudera technologies like Hadoop, Spark, and Hive.Collaborate with data engineering teams to enhance data pipelines and processing workflows.Work closely with data analysts and scientists to ensure data quality and integrity.Diagnose and resolve issues related to data processing and storage systems.Stay abreast of the latest developments and best practices in Cloudera development.Participate in code reviews and contribute constructive feedback to peers.

Are you passionate about data and driven to create exceptional partner experiences? If you possess a unique blend of determination and analytical prowess, we invite you to join Pattern! We are seeking talented individuals to contribute to our mission of propelling one of the fastest-growing companies in the US to new heights.At Pattern, we empower brands to thrive in global ecommerce marketplaces through our innovative technology and AI solutions. By harnessing over 46 trillion data points and utilizing advanced machine learning models, we enhance every facet of ecommerce growth for major global brands, including advertising, content management, logistics, pricing, forecasting, and customer service. Trusted by hundreds of brands, our ecommerce acceleration platform spans over 60 global marketplaces such as Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. For further information, please visit pattern.com or contact us at press@pattern.com.Pattern has gained recognition as one of North America's fastest-growing tech companies by Deloitte and has been honored as one of the best-led companies by Inc. We prioritize employee experience and have been featured in Newsweek's list of Global Most Loved Workplaces®.In this role, you will lead the design, development, and optimization of enterprise-scale data pipelines and architectures, facilitating data-driven decision-making. You will also architect efficient data tables and schemas to improve query performance, ensuring seamless integration with cross-functional teams.

Role Overview Syngenta Group is hiring an Engineering Lead for the Data & Analytics team in Pune. This position leads an engineering group focused on building and improving data solutions. The role works closely with colleagues from different functions to design and implement strong data architectures. What You Will Do Guide a team of engineers in developing and delivering data and analytics solutions Collaborate with other teams to shape and maintain effective data architectures Support the creation of analytics tools that help stakeholders make informed decisions

About the Role  We are on the lookout for a highly skilled and experienced Senior Network Engineer to become a key member of our dynamic team at PubMatic. The ideal candidate will possess over 5 years of extensive hands-on experience in managing and supporting enterprise-level network infrastructures. A deep expertise in routing, switching, firewalls, VPNs, and network security protocols is essential. This role entails designing, implementing, and maintaining sophisticated networks, ensuring optimal performance, availability, and security for mission-critical business systems. Proficiency in protocols such as BGP, OSPF, along with familiarity with load balancing and network monitoring tools, is a must. Candidates with experience in Juniper hardware are highly preferred, along with Cisco routing, switching, and troubleshooting experience. Relevant certifications such as CCNP, NSE, PCNSE, or JNCIA are advantageous.What You'll Do:Oversee IP connectivity and latency for all data center networks.Configure BGP for transit and private peering.Collaborate with the architecture team to devise plans for various networking solutions.Manage and execute WAN installations.Enhance and improve network performance.Monitor and scale network bandwidth as necessary.Implement future PubMatic service data centers (domestic or international).Plan and carry out complex network upgrades and migration activities.Oversee all aspects of network security, including load balancers, firewalls, and router ACLs.Facilitate remote access for PubMatic users and clients.Perform maintenance on network hardware and software.Proactively prepare for scaling and infrastructure growth.Research and evaluate new tools and network technologies.Standardize device firmware updates as required.Manage service requests and support tickets effectively.Occasionally travel to data centers.Provide on-call support after hours and during emergencies as necessary.Handle vendor support issues and engagements.Deliver projects within tight deadlines and high-pressure environments.

Join our mission at Helpshift, where we aim to revolutionize customer service by providing a seamless, mobile-first experience. In a world where consumers expect immediate and respectful interactions, our platform empowers B2B brands to engage with their customers through innovative in-app chat solutions. We have transformed traditional customer service methods, moving away from sluggish email exchanges to dynamic real-time conversations that prioritize user convenience.Our cutting-edge AI-powered chatbots and automation tools enable brands to offer instant resolutions, enhancing the role of customer service agents by equipping them with powerful automation tools that work seamlessly. Trusted by industry leaders such as Scopely, Supercell, Brex, EA, and Square, Helpshift is currently enabling over 900 million active consumers on more than 2 billion devices globally.Our Impact:85,000 requests per second30 milliseconds average response time300 GB data transferred per hour1,000 virtual machines deployed during peak timesAbout Our Team:At Helpshift, we understand that consumers value their time. Therefore, we provide brands with essential insights into their customer service operations through various data products, including in-app analytics dashboards and data-sharing integrations.The Data Platform team is pivotal in creating and maintaining the infrastructure required to support these analytics products at scale. We are responsible for building and managing robust data pipelines, databases, and other data structures to ensure data reliability and accessibility. Our team also collaborates with internal business intelligence and machine learning groups to provide data operations support, handling 2 million events per minute and processing over 1 terabyte of data daily.Your Role:Design and maintain robust data pipelines for both data ingestion and operational analytics, utilizing data from 2 billion devices and 900 million monthly active users.Develop customer-facing analytics products that provide actionable insights and facilitate anomaly detection.Work closely with data stakeholders to address their data needs and participate in the analytical process.Draft design specifications, test plans, deployment strategies, and scaling methodologies for data pipelines.Mentor team members and contribute to organizational knowledge sharing.

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.

Join our dynamic team at DemandMatrix as a Senior Data Analyst, where you will take the lead in various crucial areas:Deeply understanding the technology landscape and the significance of diverse technologies.Aligning business use cases with effective data solutions.Utilizing multiple data formats including JSON, CSV, XML, and HTML to derive insights for business strategies.Primarily deploying Python-based tools, scripts, and codes within a Linux cloud environment.Employing statistical techniques to analyze results and generating comprehensive reports using SQL, Python, Athena, and ElasticSearch.To thrive in our collaborative environment, you should possess:5-8 years of data handling experience.A strong capability to interpret extensive datasets while managing multiple tasks.Proficient programming skills in Python, along with experience in Linux/Bash scripting and databases (SQL, etc.).Exceptional analytical and critical thinking skills to address business challenges through data and technology.An interest in and knowledge of cloud technologies (GCP, Azure, AWS), open-source technologies, and enterprise technologies.An aptitude for collecting, organizing, analyzing, and disseminating substantial amounts of information with meticulous attention to detail.Effective communication skills to convey insights clearly.

About CertifyOS:At CertifyOS, we are revolutionizing the infrastructure that supports advanced provider data products, enhancing the efficiency, accessibility, and innovation within healthcare. Our platform serves as the definitive source for provider data, ensuring exceptional trust and simplifying access for all stakeholders in the healthcare ecosystem.What distinguishes us? Our state-of-the-art, API-first, and UI-agnostic provider network management platform automates processes such as licensing, enrollment, credentialing, and network monitoring like never before. With seamless integrations into numerous primary sources, we hold a unique position in improving visibility across the entire provider network management process. Our team boasts over 25 years of combined experience in building provider data systems at Oscar Health, and we are supported by leading venture capital firms that share our ambitious vision for creating an unparalleled healthcare cloud that alleviates the challenges surrounding provider data.However, our success isn't solely rooted in technology; it is driven by our people. At Certify, we nurture a meritocratic culture where every individual’s voice is acknowledged, valued, and celebrated. Our foundation is built on trust, transparency, and accountability, and we continually challenge the status quo. We are seeking passionate individuals like you to join us on this exciting journey as we reshape the future of healthcare data infrastructure.

Join Our Team as a Senior AI/ML EngineerAre you passionate about artificial intelligence and machine learning? At Brillio, we are looking for a highly skilled Senior AI/ML Engineer to drive innovative solutions and enhance our data engineering capabilities. Join us in our Pune office and work on cutting-edge projects that will shape the future of technology.

About DruvaAt Druva, we are not just offering a job; we are inviting you to be a part of a transformative journey in data security. Our innovative, cloud-native solutions are crafted to tackle the most pressing challenges in cyber resilience, ensuring our customers' data remains secure and recoverable amidst threats like ransomware and cyberattacks. As the industry leader in fully managed SaaS data protection, we eliminate the complexities and risks associated with traditional infrastructures.Our achievements speak volumes; Druva has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Our customers affirm our leadership with exceptional ratings on Gartner Peer Insights and impressive Net Promoter Scores (NPS).Explore more at druva.com and connect with us on LinkedIn, X, and Facebook.

Join OpenGov, a pioneering leader in AI-driven ERP solutions specifically tailored for local and state governments across the United States. Our innovative Public Service Platform is trusted by over 2,000 entities, including cities, counties, state agencies, and school districts, empowering them to operate with enhanced efficiency, adapt to change, and bolster public trust. Our suite of category-leading products encompasses enterprise asset management, procurement, accounting, budgeting, and open data solutions—all unified within the OpenGov ERP for maximum ROI and alignment with community priorities. Discover OpenGov’s mission to transform government accountability and efficiency at OpenGov.com.Job Summary:At OpenGov, we embrace bold ideas and rapid iteration, directly connecting our work to impactful customer outcomes. As a Senior Software Engineer, you will play a pivotal role in developing top-notch SaaS solutions that enhance efficiency, transparency, and accountability for government agencies. You will lead the charge in delivering new features and enhancements within a dynamic, agile environment, leveraging modern technologies including ReactJS, Typescript, GraphQL, and NodeJS.

We are looking for a skilled Azure Cloud Engineer with a solid foundation in Windows and Linux server administration. This role involves supporting our cloud infrastructure operations with an emphasis on reliability, scalability, and optimal performance. The ideal candidate will possess familiarity with Azure platform services, basic networking concepts, Active Directory, and backup/storage solutions. Experience with DevOps practices and Agile methodologies is a valuable asset.Key Responsibilities:Oversee and monitor Azure cloud environments along with on-premise hybrid workloads.Execute routine operational tasks including server patching, backup monitoring, performance tuning, and incident management.Administer and troubleshoot both Windows Server and Linux Server platforms.Assist with basic cloud networking tasks, including subnetting, NSG rules, and VPN setups.Maintain and troubleshoot Active Directory and other identity management components.Collaborate with internal teams and clients to address issues and provide operational support.Document runbooks, standard operating procedures, and operational workflows.Engage in change management, incident response, and post-incident evaluation.Participate in an Agile work environment, including daily stand-ups, sprint planning, and retrospectives.

Role Overview Assent is hiring a Senior Data Engineer focused on Artificial Intelligence and Machine Learning for the Pune office. This position centers on building and maintaining data pipelines that power AI and ML solutions throughout the company. The work directly supports innovation and strengthens data-driven decision making across teams.

DeepIntent is at the forefront of the healthcare advertising sector, pioneering data-driven solutions designed for a better tomorrow. Since our inception, we've aimed to enhance patient outcomes by skillfully leveraging advertising, data science, and real-world clinical data. To learn more, visit www.DeepIntent.com.Your Role:As a Senior Staff Software Engineer, you will spearhead the design, construction, and optimization of data pipelines, guaranteeing exceptional data integration and real-time analytics. You will mentor a talented team of data engineers, collaborate with cross-functional teams, and champion best practices in data architecture and engineering.Leadership & Mentorship:Guide and inspire a team of engineers, ensuring high technical standards and ongoing development.Provide insights on intricate technical challenges, fostering a collaborative and innovative culture.Establish and uphold data engineering processes, practices, and standards within the team.Data Architecture & Engineering:Design and implement robust, scalable, and efficient ETL (Extract, Transform, Load) data pipelines.Architect data solutions that facilitate seamless integration from various on-premise and cloud sources.Enhance data storage, retrieval, and processing for optimal performance and scalability.Collaboration & Stakeholder Management:Engage closely with data scientists, analysts, and business stakeholders to comprehend data needs and deliver effective solutions.Partner with the software engineering team to ensure the smooth incorporation of data pipelines into applications.Data Quality & Governance:Guarantee data integrity, quality, and consistency across systems.Enforce data governance policies and best practices, ensuring compliance with data privacy regulations.Continuous Improvement:Stay abreast of the latest trends in data engineering, big data technologies, and cloud platforms.Promote automation, testing, and optimization within data pipelines to enhance overall efficiency.Technology Stack:Lead the selection and implementation of cutting-edge technologies for data storage, processing, and retrieval (e.g., Hadoop, Spark, Kafka, Airflow).

Lead Data EngineerJoin our innovative team at Brillio as a Lead Data Engineer. In this pivotal role, you will spearhead the design and implementation of cutting-edge data engineering solutions that empower our clients to harness the full potential of their data. Collaborate with cross-functional teams to develop robust data pipelines, ensuring data quality, scalability, and efficiency. Your expertise will drive the success of our AI and data engineering initiatives, making a significant impact on our clients' business outcomes.

Role OverviewAs a Staff Data Engineer at Pattern, you will play a pivotal role as a technical leader and systems thinker within our Data Engineering team. Your primary focus will be on designing and scaling our canonical data model to ensure the delivery of high-quality, trusted data. By transforming complex raw data into accessible and efficient tables through innovative pipelines, you will facilitate analytics, forecasting, and AI/ML initiatives. You will lead by influence, shaping our technical direction, mentoring fellow engineers, and establishing the 'single source of truth' that propels Pattern's global expansion.

Join Assent as a Technical Lead in Data Engineering and play a pivotal role in transforming our data architecture. You will lead a talented team of data engineers, driving innovative solutions that enhance our data capabilities. Collaborate across teams to design, develop, and implement robust data pipelines and frameworks, ensuring data integrity and availability for analytical and operational needs.