onsite
Data Engineer - Azure
Data Engineer
Lead end‑to‑end data pipeline development on Azure, leveraging Data Factory, Databricks, and Synapse to ingest, transform, and deliver high‑quality data for analytics and AI.
About the role
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
- Implement data ingestion from diverse sources, ensuring data quality, lineage, and security.
- Optimize ETL processes for performance and cost, applying best practices in Spark and SQL.
- Collaborate with data scientists and business analysts to support analytics, reporting, and machine‑learning workloads.
- Monitor pipeline health, troubleshoot issues, and continuously improve reliability and efficiency.
Requirements
- 3+ years of experience in Azure data services (Data Factory, Databricks, Synapse).
- Strong proficiency in SQL and Python for data transformation and automation.
- Experience with data modeling, lakehouse architecture, and data governance.
- Knowledge of Azure security, monitoring, and cost‑management tools.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.