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Onsite Data Engineer in Saidapet (Chennai) who designs, builds, and maintains scalable ETL pipelines and cloud data infrastructure on AWS/GCP/Azure. Core stack includes SQL, Python/Java/Scala, and big data frameworks like Apache Spark, Hadoop, and Kafka, with a focus on data quality, governance, and pipeline performance.
Senior data engineer at Numentica (NuStartz) who designs, builds, and optimizes scalable ETL/ELT data pipelines on at least one major cloud (GCP, AWS, or Azure), while helping migrate and modernize existing data workflows for analytics and BI. Core stack: SQL, Python, cloud data services, Git/CI-CD.
With millions of diners, 70,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our…
Senior engineer building a modern analytics stack: governed semantic layer, Redshift data models, and embedded Omni dashboards to replace legacy Oracle BI for a real-estate SaaS company.
Architect, build, and operate an AI-driven agentic marketing system for a capital markets fintech—scoring leads, automating campaigns, and surfacing competitive intelligence using LLMs, CRM/intent data pipelines, and marketing tech tools, on-site in Montréal.
Senior Consultant Data Engineer in EY's Financial Services Technology Consulting (AI & Data) team in Dublin, designing, building and operating scalable data pipelines and ETL solutions for banking, insurance and wealth/asset management clients. Core stack is Azure data services, Snowflake, Databricks, SQL and Python.
A hands-on principal-level data engineer leading the design and delivery of scalable, multitenant data platforms and Lakehouse solutions for U.S. healthcare products at Optum. Day to day: setting technical direction, building cloud data pipelines (Azure, Databricks, Spark), establishing data governance and quality standards, and mentoring engineers. Core skills: SQL, Python/Java/Scala, and cloud d
Senior Data Engineer at Optum (UnitedHealth Group) building complex data pipelines and transformations into a Snowflake-based data platform for US healthcare Payment Integrity analytics. Day to day: ETL/ELT development with Snowflake, Airflow, SQL and Python, plus data quality, masking, and CI/CD in an Azure ecosystem, in a hybrid Dublin/Letterkenny model.
Staff Analytics Engineer at Coursera (now merged with Udemy) architects scalable data pipelines and enterprise-wide data models using Airflow, dbt, Databricks, and Sigma, drives data governance and observability standards, and builds self-serve analytics and external data products that power business, analytics, and AI initiatives.
Staff Analytics Engineer at Coursera (now merged with Udemy) architects scalable data pipelines and data models on the core data lake, leads enterprise data modeling and governance, and builds self-serve analytics products. Core stack includes SQL, dbt, Databricks, Airflow, and BI tools like Sigma/Looker.
Build and own the data pipelines, models, and infrastructure that power Virtualitics' AI-native readiness platform, turning high-volume government and defense data into analysis-ready inputs using Python, SQL, Spark, and AWS. Washington, D.C.-based role with remote flexibility; an active SECRET clearance is required.
Jems Group, a European data services company, is hiring a Data Scientist in Lyon to analyze client data, build predictive models, and develop algorithms for search and targeting. The role requires strong Python/Java programming, statistics, data warehouse and NoSQL database skills, plus DevOps tooling like GitLab CI/CD, Docker, and Kubernetes.
Position Summary: Data Engineer - Technology We are seeking a Data Engineer to help build and modernize our data pipeline architecture. The immediate mission: support the migration of ETL workloads out of Redshift…
Build and maintain scalable data pipelines and processing components for PlayStation analytics, using SQL, Python, PySpark, and cloud platforms like Databricks and Snowflake.
Builds and maintains Snowflake data pipelines and models that turn raw security signals into trusted, analytics-ready data for risk and compliance reporting.
Senior backend engineer at Kpler in Athens who owns end-to-end integration of US inland waterway barge data into the cargo intelligence platform: designing ingestion and entity resolution (Elasticsearch/PostgreSQL), building Kafka streaming pipelines with Python and Scala, delivering data to APIs and a TypeScript/Vue terminal, plus on-call ownership and mentoring.
A Summer 2027 data engineering intern who helps build and maintain data pipelines for NISC's enterprise utility software, learning data architecture on AWS and Databricks. Hybrid role requiring at least 3 days per week from one of three office locations.
Paid 3-month junior data engineering internship at EY GDS Poland in Katowice (hybrid: 2 days office, 3 days remote). Participants build data pipelines and work with cloud data platforms using SQL, Python, and at least one of Azure, AWS, or GCP, with structured training including Azure AI-900 certification prep.
Jacobs is hiring a Microsoft Fabric Data Engineer in Kraków to design, build and optimize its data platform — ingesting data, creating Lakehouse and Data Warehouse solutions, ETL pipelines, semantic models and Power BI reporting. Core stack: Microsoft Fabric, SQL, Power BI, Azure DevOps.
Senior Data Engineer building and maintaining data-driven applications and scalable data pipelines for a Regulatory Reporting team serving an investment bank. Core stack includes SQL, Python, Databricks, Spark, Delta Lake/DLT, Azure cloud, and CI/CD tooling like GitLab.
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