Data Engineer II
Thermo Fisher Scientific (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 24d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize source-to-target data pipelines, including real-time and batch processing for Enterprise Data Platform (EDP).
- Collaborate across teams to ensure data quality, integrity, and successful delivery of BI/Analytical reporting solutions on AWS platforms.
- Drive evolution and roadmap activities of data platform architecture following agile and DevOps practices, including building efficient Pyspark pipelines and LLM applications to boost productivity.
Minimum Requirements
- Minimum 4 years overall work experience with at least 3 years in delivering data solutions.
- At least 2 years experience building Cloud BI solutions using AWS or Azure.
- Proficient in SQL, Pyspark, and Python programming (4+ years).
- Experience with agile development methodologies including DevOps, DataOps, and DevSecOps.
Ideal Candidate Profile
- Experienced in complex data engineering projects leveraging cloud platforms (AWS/Azure) and large-scale data pipelines with enterprise impact.
- Skilled in cross-functional collaboration with global teams and agile environments to deliver reliable, scalable data solutions.
- Familiar with Large Language Models (LLM) and applying generative AI techniques to enhance data engineering operational efficiency.