# Senior Data Engineer

**Company**: GSK
**Location**: Bengaluru
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Principal-Data-Engineer_451017?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-data-engineer-04c43d36-a2b/

## Description

GSK's Data & Analytics team is seeking a Senior Data Engineer to lead key activities in building and maintaining a scalable data foundation, creating data products for analytics and AI, ensuring data accuracy and trustworthiness, and turning business questions into data solutions.

**Responsibilities:**

- Design, build, and run scalable data pipelines that collect, clean, transform, and deliver data

- Build reusable datasets, feature tables, and retrieval infrastructure to support dashboards, models, and AI applications

- Implement data quality checks, validation rules, monitoring, and alerting to ensure data accuracy and trustworthiness

- Work with business partners, data scientists, and analysts to gather requirements and deliver self-service data

- Prepare data for modeling and create, version, and maintain training and evaluation datasets

- Automate data checks, monitoring, and reporting using AI tools and agents

- Investigate pipeline and data incidents, find root causes, and implement lasting fixes

- Set standards for code, documentation, and governance, and conduct code reviews and mentorship

- Refine frameworks, tools, and automation to reduce manual effort and stay current with emerging data and AI engineering practices

**Requirements:**

- Experience designing ETL/ELT pipelines and orchestrating them with Azure Data Factory, Databricks Workflows

- Experience with Git, Azure DevOps, CI/CD pipelines, and automated testing for data code

- Experience implementing data quality checks, monitoring, and data cataloging or governance

- Solid understanding of data modeling, dimensional models, data warehouses, lakehouse architecture

- Working knowledge of Power BI or similar tools for serving data to business users

**Preferred Skills:**

- 5+ years of experience as a data engineer, including building and operating production data pipelines

- Experience supporting data scientists or analysts and translating their needs into reliable datasets

- Strong SQL and Python, including PySpark for large-scale data processing

- Hands-on experience with Azure Databricks, Delta tables, Unity Catalog, Databricks Workflows, and SQL Warehouses

- Experience supporting ML projects using Azure ML, MLflow, or Databricks

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## Skills

### Required
- ETL Development
- Data Engineering
- Data Governance
- Data Ingestion
- Data Integration
- MLflow
- Performance Tuning
- PySpark
- Structured Query Language (SQL)
- Azure Devops
- Computer Programming
- Data Analysis

### Nice to have
- Azure Databricks
- Delta tables
- Unity Catalog
- Databricks Workflows
- SQL Warehouses
- Azure ML
- Databricks
- LLM-based automation
- AI agents

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Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Principal-Data-Engineer_451017?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)