Data Engineer
Godrej Properties (company site, opens in a new tab)2–4 yrsMumbaiOn-siteDirect career pageEst. 7–14 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize batch and streaming data pipelines for Databricks Lakehouse integrating diverse data types.
- Build reusable, business-ready Delta Lake datasets using medallion architecture for BI, analytics, ML, and AI use cases.
- Implement data quality checks, governance with Unity Catalog, performance optimization, and support DataOps practices including CI/CD.
Minimum Requirements
- 2-4 years of hands-on data engineering experience, preferably with Azure Databricks.
- Bachelor's degree in Computer Science, IT, Engineering, MCA, or related discipline.
- Strong skills in Azure Databricks, Delta Lake, Azure Data Factory, Azure Data Lake Storage, advanced SQL, Python, PySpark, and Spark performance optimization.
- Experience in converting business requirements and KPIs into governed data models and production-grade data products.
Ideal Candidate Profile
- Experienced in building scalable governed data products with strong stakeholder management and documentation skills.
- Familiarity with Databricks Genie for semantic modeling, metric views, and metadata governance using Unity Catalog.
- Comfortable working with batch and streaming data architectures, applying DataOps practices, and collaborating across business and technical teams.