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Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain governed, reusable Bronze, Silver, Gold data products within the OneHouse central lakehouse, ensuring trusted Single Source of Truth (SSOT) datasets.
Provide hands-on technical leadership within a squad, including mentoring junior data engineers, guiding solution design and code quality, and contributing to Engineering Decision Records.
Develop data ingestion and transformation pipelines using Databricks, Spark SQL, Delta Lake, and related tools while ensuring governance, data quality, and reliability.
Minimum Requirements
Strong data engineering experience in enterprise environments, specifically with OneSource 2.0 and OneHouse DTU practices.
Proficiency with Databricks, Spark SQL, and Delta Lake is mandatory; experience with Azure Data Factory, Snowflake, and Informatica is a plus.
Solid skills in data modeling for analytics, including facts, dimensions, derived metrics, and medallion architecture.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Technical leader recognized as a hands-on reference within the squad without people management responsibilities, operating under a Chapter Manager's guidance.
Experienced in building scalable, governed data transformation pipelines integrated with ERP, finance, and commercial data sources such as SAP.
Comfortable working in an Agile squad model, managing CI/CD pipelines via GitHub and driving design decisions through peer reviews and EDRs.