Senior Data Engineer
Statistics & Data Corporation (SDC) (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 20–35 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop scalable data architectures and ETL pipelines to process and analyze clinical and nonclinical data for improved understanding of clinical therapies.
- Establish and maintain Data Quality, Governance, and Master Data Management practices to ensure clean and accurate data across systems.
- Lead and mentor data engineering team members, prototype new AI-based approaches for clinical trial data processing, and maintain multiple production data systems.
Minimum Requirements
- Bachelor's degree in a technical field plus 7 years of technical experience with last ~4 years in Data Engineering OR 10+ years technical experience with last ~5 years in Data Engineering.
- Fluency in Python and experience with multiple data formats (CSV, JSON, XML, HTML, SQL tables).
- Deep understanding of modern RDBMS concepts and SQL syntax; experience with at least one modern RDBMS.
- Experience in software development lifecycle, ability to design data warehouses using dimensional modeling principles, and familiarity with both SQL and NoSQL databases.
Ideal Candidate Profile
- Experienced in designing and maintaining data pipelines and warehouses within regulated clinical research environments (CRO experience preferred).
- Proven ability to translate business requirements into technical specifications while engaging multiple internal stakeholders.
- Strategic thinker with leadership skills to improve team productivity and implement innovative AI-driven data solutions supporting clinical trials.