Senior Data Engineer role within Thermo Fisher Scientific's IT team, responsible for designing and maintaining data pipelines, performing data modeling, and ensuring data quality across enterprise analytics solutions. The position involves collaborating with IT and business functions to translate requirements into technical implementations while supporting global projects and system deployments.

Responsibilities

Design, develop, and maintain data ingestion, processing, and analytics pipelines following best practices

Perform data modeling and schema design to support business reporting and analytics requirements

Monitor and optimize data solution performance to meet SLAs and scalability needs

Collaborate with business partners to gather requirements and translate them into technical solutions

Support knowledge transfer,



hypercare management, and handover to support teams post-deployment

Requirements

- Bachelor's degree in computer science, engineering, or equivalent; master's degree preferred
- 6+ years industry experience with 3+ years as data engineer in supply chain
- Solid SQL and data warehousing expertise
- Proficiency in Python, Scala, or similar data engineering programming languages
- Hands-on experience with AWS, Google Cloud, or Azure platforms
- Experience with Big Data technologies: Spark, Hive, HBase, Cassandra, or similar
- Knowledge of design principles, architectural patterns, and agile methodologies

📌 Senior Data Engineer : Big Data (Andhra Pradesh)
🏢 Thermo Fisher Scientific
📍 Andhra Pradesh