Senior Data Engineer

2 weeks ago


Halol, India XFactor Talent Full time

Position Title Data Engineer 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. Required Skills & Qualifications  Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.  5–8 years of experience in data engineering, metadata governance, or related roles.  Strong expertise in ETL/ELT tools, file-based integrations, and data transformation logic.  Prior experience R&D data or laboratory/engineering data sources is a strong plus.  Understanding of metadata frameworks, data dictionaries, and data governance processes.  Ability to work across cross-functional teams and ensure strict adherence to data standards.


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