Data Engineer (Databricks)
Procter & Gamble (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy automated ETL/ELT data pipelines on Azure and Databricks using Python, PySpark, and SQL.
- Develop and maintain a unified relational and analytical data model integrating multiple data sources for enterprise-wide analytics.
- Serve as technical SME and quality gatekeeper for external vendor deliverables, including code reviews and enforcing engineering standards.
Minimum Requirements
- Proven experience in building data pipelines using Databricks, Azure Data Lake Storage, Azure Data Factory, and Synapse Analytics.
- Expert-level skills in SQL for complex query development and performance tuning.
- Advanced programming in Python and PySpark for distributed data processing.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in data modeling, with deep understanding of relational schemas, star/snowflake schema design, and data warehousing concepts.
- Capable of providing technical leadership and conducting code reviews to enforce best practices and standards among peers and vendors.
- Comfortable working in large-scale cloud environments combining Databricks and Azure tools with cross-team collaboration on enterprise analytics initiatives.