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Designs and maintains ETL workflows and data pipelines using Informatica PowerCenter, Spark, and SQL for enterprise systems.
Designs and maintains ETL workflows using Python, Spark, Hive, and HDFS, optimizing SQL across Oracle, Teradata, or SQL Server.
We are looking for an experienced Data Engineer (Cloud) to join our growing team. The ideal candidate should have hands-on expertise in designing and developing cloud-based data solutions using AWS, Databricks, Python,…
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, focusing on healthcare data pipelines and ETL/ELT workflows.
Designs and maintains large-scale data pipelines and warehouses using Hadoop, Spark, and SQL, transforming raw data into analytics-ready datasets.
Designs and maintains ETL workflows and data pipelines using Informatica PowerCenter, Python, Spark, and SQL for financial data processing.
Designs and maintains ETL workflows with Informatica PowerCenter and Python, builds Spark/Hive pipelines on HDFS, and optimizes SQL for Oracle/Teradata to support banking data platforms.
Designs and optimizes ETL/ELT pipelines and data warehouses using Teradata, Hadoop, Spark, and Informatica for enterprise-scale data processing.
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, migrating and modernizing healthcare data pipelines and ETL workflows.
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Lead product strategy for a fintech product at Barclays, defining vision, aligning teams, and using data to drive decisions and customer outcomes.
Design and maintain ETL workflows using SAP BODS, build scalable data pipelines, and optimize SQL/Teradata queries for data transformation and migration.
Build and maintain cloud-based data pipelines using Databricks, PySpark, and Azure Synapse to feed AI forecasting models for a finance client.
Designs and builds cloud-based data warehouses and pipelines for a healthcare company, using SQL and BigQuery to support analytics and reporting across clinical and financial systems.
Design, build, and maintain cloud-based data platforms (Azure/AWS, Lakehouse, Databricks) and pipelines, using SQL, Python, and ETL tools to support analytics and reporting for enterprise clients.
Senior Data Engineer designs, builds, and maintains cloud-based data platforms (Azure/AWS, Lakehouse, Databricks) using SQL, Python, and ETL tools, focusing on analytics environments and dimensional modeling.
Analyzes large datasets with SQL, Python, Hadoop, and Excel to uncover business growth opportunities and trends for Sber’s internal teams.
Design and lead enterprise-grade AI/ML architectures for DHL’s logistics systems, including generative AI, MLOps, and cloud platforms like Azure and Google Cloud.
Designs and builds scalable GCP data pipelines and platforms using BigQuery, Dataflow, and Python/Java/Scala to support AI and analytics workloads.
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