Senior Data Engineer (India)
Core
Design, build, and operationalize scalable data solutions to support enterprise analytics and AI/ML initiatives using Azure Databricks and the Azure ecosystem.
Role type
Senior IC data engineer (cloud data platform)
Builds
End-to-end data pipelines, data lakes, and analytical models for self-service analytics
Domain
Cloud data engineering (Azure)
Deliverable
production ML models
Required skills
Azure Databricks, PySpark, SQL, Azure Data Factory, Azure SQL, data modeling (bronze/silver/gold), CI/CD, API integrations, unit testing frameworks
Preferred skills
GxP, HIPAA, GDPR compliance, Power BI/Tableau, semantic modeling, performance optimization
Technologies
Azure Databricks, Azure Fabric, PySpark, Azure Data Factory, Azure SQL, Azure DevOps, Git, REST/JSON
Responsibilities
Architect end-to-end data solutions; design and maintain data pipelines; implement robust data modeling standards; optimize Spark and SQL workloads; manage metadata; drive automation in data integration; build API-based integrations; develop automated testing frameworks; prepare datasets for BI and reporting; partner with analytics teams to define semantic models; lead technical design reviews and mentor junior engineers. (via careerplan.io/jobs/fcc7752c-a1ee-43f1-a419-e01ca24284a6-senior-data-engineer-india-at-alimentiv)
Seniority
Senior, hands-on IC with technical leadership