Data Engineer designing and maintaining data models and pipelines using Azure technologies at Capgemini Engineering. Supporting digital transformation for a recognized leader in beverage and consumer goods industry.
Responsibilities
Design and implement scalable data models using Azure Synapse Analytics, Delta Lake, and T‑SQL
Build and maintain ETL/ELT pipelines with Azure Data Factory and Spark (PySpark/Scala/Spark SQL)
Optimize data refresh cycles using incremental/delta processing strategies
Integrate CI/CD workflows for data pipelines using GitHub Actions or Azure DevOps
Define and enforce data quality rules and cleansing logic
Implement data governance policies and leverage Azure Purview for metadata and lineage tracking
Manage and optimize storage in Azure Data Lake Storage Gen2
Monitor performance and set up alerting using App Insights and Log Analytics
Requirements
Design and implement scalable data models using Azure Synapse Analytics, Delta Lake, and T‑SQL
Build and maintain ETL/ELT pipelines with Azure Data Factory and Spark (PySpark/Scala/Spark SQL)
Optimize data refresh cycles using incremental/delta processing strategies
Integrate CI/CD workflows for data pipelines using GitHub Actions or Azure DevOps
Define and enforce data quality rules and cleansing logic
Implement data governance policies and leverage Azure Purview for metadata and lineage tracking
Manage and optimize storage in Azure Data Lake Storage Gen2
Monitor performance and set up alerting using App Insights and Log Analytics
Work with semantic technologies such as RDF mapping, SHACL validation, and Apache Jena
Benefits
health insurance from the first days, regardless of the probationary period
Christmas holidays from 25 December to 31 December
Сooperation with Superhumans center and Veteran HUB
psychological rehabilitation department of Superhumans
psychological counseling provided by the Veteran Hub
internal policy making the company friendly to military and veterans with the assistance of the Hub
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