Job Description
We’re looking for a Data Engineer to build, optimize, and support data workflows across our Azure ecosystem. You’ll work closely with technical and business stakeholders to deliver reliable, scalable, and well-documented data solutions that power analytics, reporting, and operational decision-making—especially across asset management data domains like securities, holdings, benchmarks, and pricing.
**In this role you will be responsible for:**
+ Design & orchestrate data pipelines using Azure Data Factory—from ingestion to transformation and delivery.
+ Develop and optimize transformations in Azure Databricks using PySpark and SQL for large-scale processing and validation.
+ Model and store data in Azure Data Lake (hierarchical storage) with robust partitioning, metadata, and governance practices.
+ Query and warehouse datasets in Azure Synapse—enabling distributed querying and analytical workloads.
+ Implement ET...
**In this role you will be responsible for:**
+ Design & orchestrate data pipelines using Azure Data Factory—from ingestion to transformation and delivery.
+ Develop and optimize transformations in Azure Databricks using PySpark and SQL for large-scale processing and validation.
+ Model and store data in Azure Data Lake (hierarchical storage) with robust partitioning, metadata, and governance practices.
+ Query and warehouse datasets in Azure Synapse—enabling distributed querying and analytical workloads.
+ Implement ET...
Apply for this Position
Ready to join Cognizant? Click the button below to submit your application.
Submit Application