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Job Description & How to Apply Below
About Us
Masco Home Products India (MHPI) is a fully owned subsidiary of Masco Corporation , headquartered in Livonia, MI. The vision of MHPI is to be recognized as a world-class Global Business Services organization driven by the desire for excellence in its people, business solutions, execution, and partnerships with internal customers to develop “Lean and Simple” business solutions.
Headquartered in Livonia, Michigan, Masco Corporation is a global leader in the design, manufacture and distribution of branded home improvement and building products. Our portfolio of industry-leading brands includes Behr® paint;
Delta® and Hansgrohe® faucets, bath and shower fixtures;
Liberty® branded decorative and functional hardware; and Hot Spring® spas. We leverage our powerful brands across product categories, sales channels and geographies to create value for our customers and shareholders.
For more information about Masco Corporation, please visit:
Masco Corporation,
MHPI (Masco Home Products India) | Linked In
Role:
Data Engineer
Role Summary
The Data Engineer designs, builds, and operates the ingestion, transformation, and Lakehouse solutions that power Masco's enterprise POS and adjacent commercial data. This role delivers high-quality, reliable, and secure data pipelines against the standards and specifications set by the Enterprise Data Architect and the direction of the Data Engineering Leader. The engineer contributes across the full pipeline lifecycle — ingestion, data quality, transformation, and enrichment — including the pipeline-side execution of the enterprise attribution crosswalk.
Depending on assignment, the Data Engineer may focus more heavily on ingestion or on quality and pipeline development, but the role covers all aspects.
What You'll Own
Ingestion & Pipeline Development
Design, build, and maintain automated ingestion pipelines and multi-source integration for retailer, HQ, and BU data on the Databricks and Azure data stack.
Develop RESTful APIs and API-based integrations for retailer and third-party data acquisition.
Deliver critical-path pipelines and validation for priority data feeds.
Integrate with orchestration tools and cloud or hybridstorage systems to enable end-to-end data workflows.
Contribute to Lakehouse solutions using ACID-compliant storage layers, schema enforcement, and versioning for reliable data management.
Data Quality, Validation & Monitoring
Run data-quality checks at the pipeline level — missing values, outliers, consistency, and cross-source reconciliation.
Implement monitoring, validation, and automated notifications within the data lifecycle to protect performance, quality, and availability.
Support pipeline monitoring, incident response, and continuous improvement in partnership with the Data Engineering Leader.
Maintain change control and testing processes for modifications to pipelines and data models.
Attribution & Master Data Support
Build the ingestion side of the attribution crosswalk and master data foundations against the Enterprise Data Architect's documented spec.
Support maintenance of hierarchy mappings and attribute relationships through pipeline work.
Surface data-quality issues, mapping exceptions, and structural gaps back to the Data Engineering Leader and Architect.
Dev Ops, Automation & Data Preparation
Implement CI/CD pipelines for data engineering workflows and automate testing, deployment, and monitoring of data solutions.
Develop, maintain, and secure tables, relationships, metrics, and calculations for analytical models supporting reporting and advanced analytics.
Contribute to research and recommendations on data management products, services, and standards.
Documentation &Knowledge Management
Document ingestion patterns, pipelines, validation rules, and metric definitions as part of the definition of done.
Contribute pipeline lineage and technical metadata to the enterprise catalog.
Follow the documentation standards established by the Data Engineering Leader and Enterprise Data Architect.
Education & Experience
Bachelor's or master's degree in computer science, Engineering, Data Analytics, or a related field; equivalent professional…
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