Data Engineer
Masco Corporation (company site, opens in a new tab)On-siteDirect career pageEst. 12–22 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain automated ingestion pipelines and data integrations on Azure and Databricks for enterprise POS and commercial data.
- Implement and monitor data quality, validation, and automated notifications to ensure pipeline reliability and performance.
- Develop and support attribution crosswalk ingestion, Lakehouse data solutions, and CI/CD pipelines for data workflows including documentation and lineage management.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or related field, or equivalent experience.
- Substantial hands-on experience designing and delivering data engineering solutions on Azure ecosystem and Databricks.
- Advanced expertise in Databricks, Azure Data Factory, Data Lake, Synapse, RESTful API development, SQL/T-SQL, Python, and familiarity with medallion architecture and Lakehouse principles.
- Work Experience Required: Substantial hands-on experience with production pipeline delivery and operational support; explicit years not specified.
Ideal Candidate Profile
- Experience with production data pipelines in enterprise environments using Azure and Databricks, especially involving retail POS or commercial data.
- Proven capability in full pipeline lifecycle including ingestion, quality control, DevOps automation, and data modeling (Kimball dimensional modeling preferred).
- Comfortable working independently with minimal oversight on complex data engineering tasks, and collaborating with architects and BI teams in a structured engineering organization.