Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Title – Data Engineer III

Job Location: Bangalore, India

About Company:

ThermoFisher Scientific Inc. is the world leader in serving science, with revenues of more than $40 billion and approximately 1,20,000 employees globally. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. We help our customers accelerate life sciences research, solve sophisticated analytical challenges, improve patient diagnostics, deliver medicines to market, and increase laboratory efficiency.

AAD team focuses on data engineering, analytics, automation, and AI solutions for Thermo Fisher Scientific groups.

What makes this opportunity outstanding? You will work at the forefront of scientific innovation and data engineering, contributing to our world-class solutions!

General Job Functions

Perform source to target data analysis and mappings.Build, test, and optimize data pipelines for various use-cases, including real-time and batch processing, based on specific requirements.Collaborate with admins, developers, data engineers, and analysts to deliver solutions successfully.Conduct requirement analysis and coordinate with project managers and development teams to drive the delivery cycle.Assist the scrum master with product backlogs and sprint planning.Support the evolution of EDP architecture and partake in roadmap activities around data platform architecture initiatives or changes.Ensure data quality and integrity in DWH & AWS platforms for BI/Analytical reporting, collaborating with leadership and customers.Anticipate risks and communicate with customers to formulate mitigation plans.Follow agile development methodologies to deliver solutions and product features by following DevOps practices.Ensure teams adhere strictly to prescribed development processes and approaches.

Must have skills and experience

6+ years of overall work experience with 4+ years exclusively in delivering data solutions.3+ years of validated experience building Cloud BI solutions using AWS or Azure.Experience with agile development methodologies by following DevOps, Data Ops, and Dev Sec Ops practices.4+ years of programming in SQL, Pyspark, and Python.Excellent written, verbal, interpersonal, and partner communication skills.Outstanding analysis and business requirement documentation skills.Ability to work with multi-functional teams from multiple regions/time zones, efficiently demonstrating multi-form communication (Email, MS Teams for voice and chat, meetings).Flawless prioritization and problem-solving skills.

Good to have skills

Hands-on experience with Snowflake or Azure data engineering.Knowledge of SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra.Experience in building data pipelines in Databricks.Data visualization experience using tools such as Power BI or Tableau.Knowledge of data governance practices, data quality, and data security.Relevant certifications in data engineering on cloud platforms.Basic understanding of machine learning and Generative AI concepts.