Senior Data Engineer
Core
Design, build, and maintain production-grade ETL/ELT pipelines and hybrid data platforms to ensure stable, scalable, and trusted data flows for analytics.
Role type
Senior hands-on IC data engineer (cloud/hybrid)
Builds
Production ETL/ELT pipelines, Azure Synapse, Microsoft Fabric Lakehouses, Warehouses, and Pipelines
Domain
Cloud data engineering, Azure ecosystem, hybrid data platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, PySpark, Spark SQL, Azure Synapse Analytics, Microsoft Fabric, CI/CD, automated testing, data validation, reconciliation, monitoring, logging, alerting, code reviews, mentorship
Preferred skills
Microsoft Fabric Lakehouse, Spark workloads, Azure Data Factory, orchestration tools, data governance, lineage
Technologies
SQL Server, Azure Synapse, Microsoft Fabric, Git, CI/CD pipelines
Responsibilities
Design and maintain production-grade ETL/ELT pipelines; own end-to-end data pipelines from ingestion to curated datasets; troubleshoot complex pipeline failures; collaborate on on-prem to cloud migration initiatives; build and operate solutions across hybrid data platforms; implement data validation and monitoring; mentor junior data engineers; collaborate with BI teams and governance stakeholders
Seniority
Senior, hands-on IC
