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Lead a big data engineering team designing, developing, and managing large-scale data processing systems and architectures. Core technologies include Hadoop, Spark, NoSQL databases, data warehousing, and cloud platforms (AWS/Azure/GCP), with an emphasis on leadership.
Data Engineer at ETHOZ Capital in Singapore who designs, builds, and maintains scalable data pipelines (ETL/ELT), data lakes, warehouses, and streaming systems. Core stack includes SQL, Python/Java/Scala, orchestration tools like Airflow, cloud data warehouses (Snowflake/BigQuery/Redshift), with PDPA-compliant data governance.
Build and maintain Java/Spring Boot backend services — RESTful and streaming APIs — for a Singapore technology consulting firm whose clients are major banks. Day to day: coding, peer code/design reviews, translating requirements with BAs and PMs, and rotational deployment/release work using Git, Jenkins and other DevOps tooling.
A senior individual contributor who owns go-to-market data models and measurement infrastructure: building production dbt models, semantic layers (Omni/Looker), attribution frameworks, and unit economics reporting in a cloud data warehouse, partnering with Marketing, Sales, RevOps, Product, and Finance. Core stack: dbt, SQL, Python, Salesforce, Amplitude, Segment.
Data analyst/engineer at Haema, a blood and plasma donation service, who maintains and monitors data pipelines, modernizes the data architecture from classic SQL databases toward Microsoft Fabric and Azure, builds Power BI dashboards and data models, and trains business users in self-service analytics at their Leipzig headquarters (hybrid).
A 6-month contract (outside IR35, up to £500/day) for a Data Engineer at a London fintech, migrating legacy reporting to a modern Azure/Microsoft Fabric data platform. Day-to-day work involves ETL pipeline development, schema mapping, Kimball-style fact/dimension modelling and reporting validation.
Fully remote (US) staff-level data engineering role shaping and scaling an ELT/data platform supporting healthcare operations. Day to day: driving multi-quarter technical direction, authoring designs, mentoring engineers, and hands-on work with SQL, Python, Airflow, dbt, and a cloud data warehouse like Snowflake.
Job Description – Data Platform Solution Architect (Azure Synapse & Databricks) Role Overview We are looking for an experienced Data Platform Solution Architect to join an existing enterprise data platform team.…
Looking for a Senior Test Manager with 16+ years of experience in Banking (BFSI) and Proven track record of managing large-scale Data & Analytics programs, Quality Engineering, and Digital Transformation programs.…
HCLTech is hiring a GCP Data Engineer (3+ years) with a walk-in interview in Bangalore. Day to day, the engineer designs and maintains data ingestion and transformation pipelines on Google Cloud using BigQuery, Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Airflow, and CI/CD automation for batch and real-time data processing.
HCLTech is hiring a GCP Data Engineer in Chennai (walk-in face-to-face interviews on Aug 22) to design, build, and optimize scalable data pipelines and warehouse solutions on Google Cloud Platform, using BigQuery, Dataflow, and Dataproc, with CI/CD automation for data pipeline deployment.
Build and maintain ETL/ELT data pipelines and data warehouses on Google Cloud Platform, working hands-on with Dataflow, BigQuery, Pub/Sub, Cloud Storage, Cloud SQL and Firestore, and coding in Python and SQL. Targets engineers with 5-18 years of experience based in Hyderabad.
TCS is hiring a GCP Data Engineer in Chennai (walk-in drive on 5 Sep 2026) to design and build batch and streaming data pipelines on Google Cloud Platform, optimize BigQuery data warehouses, and modernize legacy ETL workloads using tools like Dataflow, Cloud Composer/Airflow, PySpark, Python, and SQL.
BI Developer building Tableau dashboards, writing SQL queries and Python scripts, and designing ETL processes to deliver data-driven insights for an IT solutions company.
Senior enterprise architect role shaping Deutsche Telekom IT Solutions' Analytics & Data landscape — defining target architectures, driving transformation roadmaps, and steering platform decisions across cloud-native analytics, SAP Business Data Cloud, governed data products, and AI-enabled data capabilities, based in Budapest.
About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes…
The Data Engineer will design, build, and maintain scalable cloud-based data pipelines using AWS, Airflow, and Databricks. The role also involves developing AI agents using LangGraph to automate workflows and integrate data sources.
Why you'll LOVE Sagent: You could work anywhere. We know you are talented and looking for something inspiring and impactful. A place where you will make a difference and have a great time doing it! By choosing…
Continental’s Data & Customer Solutions Competence Center develops innovative digital products that support both our customers and internal teams, and we’d love for you to be part of it! Our Digital Solutions IT…
Position Overview We are looking for a Data Engineer with hands-on experience in building scalable data pipelines and data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have…
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