Thermo Fisher Scientific seeks a Data Engineer II to strengthen enterprise data platform capabilities by building and optimizing data pipelines for analytics and reporting. The role involves collaborating across teams to deliver cloud-based data solutions using AWS or Azure in an agile environment.

Responsibilities

Design and execute source-to-target data analysis and mappings

Build, test, and optimize data pipelines for batch and real-time processing

Collaborate with developers, analysts, and admins on data engineering deliverables

Support enterprise data platform architecture evolution and roadmap planning

Ensure data quality and integrity across data warehouse and AWS platforms

Requirements

- 4+ years work experience with 3+ years in data solutions delivery
- 2+ years building cloud BI solutions on AWS or Azure
- 4+ years programming in SQL, PySpark, and Python
- Experience with agile methodologies, DevOps, DataOps, and DevSecOps
- Proven expertise with Large Language Models and retrieval-augmented generation
- Solid analysis, documentation, and cross-functional communication skills

📌 Data Engineer (AWS, SQL) (Bengaluru)
🏢 Thermo Fisher Scientific
📍 Bengaluru