Data Engineer Azure
Core
Design, develop, and maintain complex enterprise ETL pipelines and data solutions on Azure platforms, integrating cloud and on-premises systems.
Role type
Senior Data Engineer (Azure/ETL)
Builds
End-to-end data pipelines, data lakes, and enterprise data governance frameworks
Domain
Enterprise Data Engineering, Cloud (Azure), Data Warehousing
Required skills
ETL development, SQL, Azure Data Factory, Azure Synapse, Databricks, Informatica, Apache Airflow, data warehousing, data lake architecture, data governance, Python
Preferred skills
MicroStrategy, Tableau, Esri ArcGIS, Oracle, Postgres, DB2, XML, Parquet, AVRO
Responsibilities
Build and maintain ETL solutions using Azure Data Factory, Synapse, Databricks, and Informatica; Create end-to-end data pipelines loading information from multiple sources; Automate, monitor, and manage data pipelines; Support enterprise data governance ensuring accuracy, consistency, and security; Collaborate with business and technical stakeholders to resolve data issues; Develop new systems and enhancements while maintaining standards.
Seniority
Senior, hands-on IC