remoteonsite
Azure Data Engineer - Rysun labs
Data Engineer
Design, build, and optimize data pipelines on Azure using Data Factory, Synapse, and Spark. Develop ETL processes, data models, and analytical solutions to support enterprise AI and analytics initiatives.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines on Azure using Data Factory, Synapse, and Databricks.
- Implement ETL/ELT processes in Python and SQL to ingest, transform, and load data from diverse sources.
- Build and optimize data models and warehouses to support analytics, reporting, and machine‑learning workloads.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions.
- Monitor performance, ensure data quality, and implement best practices for security and governance.
Requirements
- 3+ years of hands‑on experience with Azure data services (Data Factory, Synapse, Databricks).
- Strong proficiency in SQL and Python for data manipulation and automation.
- Experience with big‑data processing frameworks such as Apache Spark.
- Solid understanding of data modeling, warehousing concepts, and ETL design patterns.
- Ability to work in an Agile environment and communicate technical concepts to non‑technical stakeholders.
Skills
sqlpythonapache spark