Role- Data Engineering & Schema Steward (Metadata Owner)
Location- Halol, (work from office, 5 days a week)
Department-R&D;
Grade/Level/Experience- 5+ years of experience in this profile
Reporting To- Head of R&D;/ Senior Manager Digital & Analytics
Role Summary
This role will serve dual responsibilities:
1. Schema Steward (Metadata Owner) to maintain authoritative metadata standards, IDs, naming conventions, and data definitions across the Data Lake.
2. Data Engineer to build, validate, and maintain extraction and file-drop pipelines from systems such as TDMS and PDM, ensuring high-quality, structured, and consistent data ingestion.
The role ensures metadata consistency, technical feasibility, and smooth execution of integration activities across all phases.
Key Responsibilities
1. Metadata Ownership (Schema Steward)
- Own and continuously update the Metadata Dictionary for all R&D; domains.
- Define and standardize unique identifiers such as Variant_ID, Compound_ID, DOE_ID, Test_ID, etc.
- Maintain naming conventions, versioning rules, and schema evolution practices.
- Validate sample metadata records to ensure adherence to standards.
- Ensure metadata consistency across all tools, systems, dashboards, and analytical use cases.
- Collaborate with IT Architect and functional SMEs to maintain a robust metadata governance framework.
2. Data Engineering Responsibilities
- Support R&D; tools data extraction, cleansing, normalization, and ingestion processes.
- Design and assist with structured file-drop or automated ingestion pipelines for Data Lake loading.
- Perform feasibility validation for Phase-2 integration candidates, assessing data availability, structure, volume, and integration complexity.
- Conduct data discovery and profiling to understand source system nuances.
- Collaborate with the Architect to ensure data models comply with designed contracts and metadata rules.
- Implement pipeline monitoring, error handling, and data quality checks.
Requi
📌 Manager - Data Engineer (Halol)
🏢 CEAT
📍 Halol