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 multi-source integration on Databricks and Azure data stack for enterprise POS and commercial data.
- Implement data quality validation, monitoring, incident response, and continuous pipeline improvements to ensure reliable and secure data workflows.
- Develop ingestion side of attribution crosswalk, data preparation, CI/CD automation, and maintain documentation and technical metadata for enterprise data 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 building data engineering solutions on Azure cloud platform, including Databricks.
- Advanced skills in Databricks, Azure Data Factory, Data Lake, Synapse, Analysis Services, SQL/T-SQL, Python/Scala, RESTful API development, and data pipeline operations.
- Work Experience Required: Substantial hands-on experience with data engineering solutions on major cloud platform; exact years not explicitly mentioned.
Ideal Candidate Profile
- Experienced in operating and supporting production data pipelines end-to-end in cloud environments, especially Azure and Databricks.
- Strong knowledge of Lakehouse architecture (medallion architecture), CI/CD, DevOps automation, and Kimball dimensional modeling.
- Domain experience or familiarity with retail, consumer goods, or manufacturing analytics involving POS, sell-in, inventory, or third-party retail data is preferred.