Data Engineer
Masco Corporation (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 10–18 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 POS and commercial data.
- Implement data-quality checks, validation, monitoring, and automated notifications to ensure pipeline performance and reliability.
- Build ingestion side of attribution crosswalk and master data foundations as per enterprise architecture specifications, supporting critical analytical models and data workflows.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or related field (equivalent experience considered).
- Substantial hands-on experience designing and building data engineering solutions on Azure ecosystem, including Databricks, Data Factory, Data Lake, Synapse.
- Advanced SQL/T-SQL and Python (or Scala) proficiency, with strong experience in ETL/ELT design and RESTful API development for data ingestion.
- Work Experience Required: Substantial hands-on experience with production data engineering pipelines; exact years not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with medallion architecture and Lakehouse principles, including ACID storage, schema enforcement, and versioning.
- Familiarity with retail or consumer goods analytics environments focused on POS, sell-in, and inventory data is preferred.
- Capable of independently managing complex data engineering workloads with strong delivery focus and ability to collaborate closely with Data Engineering Leader and Enterprise Data Architect.