Engineer II, Data Engineer
GSK (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 30–48 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Own an end-to-end data domain, including design and quality assurance of AI data pipelines built and operated by digital workers.
- Improve frameworks and tools used by digital workers to reduce manual intervention over time in your data domain.
- Deliver governance-compliant, audit-ready, quality-assured data to AI systems including context management and data contracts.
Minimum Requirements
- 10+ years of experience building and operating production data pipelines, data models, and AI-related infrastructure.
- Strong expertise in SQL, Python, and modern cloud data warehouses/lakehouses with orchestration frameworks like Databricks, BigQuery, Airflow, dbt or Spark.
- Experience designing and managing feature stores, vector databases, data contracts, and training/evaluation datasets for production AI projects.
- Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent practical experience.
Ideal Candidate Profile
- Experienced in autonomous ownership of complex data domains in regulated or high-stakes environments such as life sciences or healthcare.
- Proficient in agentic AI systems and AI-powered data workflows with strong judgment in evaluating AI-generated outputs.
- Skilled at collaborating across multidisciplinary teams translating ambiguous requirements into scalable, quality data assets with strong audit and governance standards.