Data Engineer III

Work Schedule

Environmental Conditions

Job Description

Job Location : Bangalore, India

Thermo Fisher Scientific Inc. is the world leader in serving science, with revenues of more than $40 billion and approximately 1,00,000 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 complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity.

About Team: Enterprise Data Management is a part of ETO (Enterprise Technology Organization) which caters to data engineering and analytics solutions for various groups and divisions within Thermofisher Scientific.

What will you do?

As a data engineer, you will play a key role in strengthening our data engineering capabilities delivering data engineering pipelines and solutions through Enterprise Data Platform (EDP) for various groups and divisions.

• Perform source to target data analysis and mappings.
• Collaborate with admins, developers, data engineers and analysts for successful functionality delivery.
• Perform requirement analysis and co-ordinate with project managers and development team to drive the delivery cycle.
• Collaborate with the scrum master on product backlogs and helps with sprint planning.
• Builds and tests data pipelines for various use-cases (real-time and batch) depending on the requirements.
• Supports the evolution of EDP architecture and takes part in roadmap activities around data platform architecture initiatives or changes.
• Collaborate with leadership and partners to ensure data quality and integrity in DWH & AWS platforms for BI/Analytical reporting.
• Pre-meditate any risks well in advance and communicate to partners to formulate the plan of action to mitigate any risks.
• Should be able to build bandwidth to support development activities in data engineering when called for.
• Follow agile development methodologies to deliver solutions and product features by following DevOps practices.
• Ensure the teams follows the prescribed development processes and approaches.

• 6+ years working experience in delivering data solutions.
• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, PySpark, and Python.
• Implement and optimize data storage solutions on AWS, leveraging services such as S3, Redshift, and RDS.
• Write complex SQL queries to extract, manipulate, and analyze data from various sources.
• Collaborate with data analysts, business  and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality and integrity by performing data validation, cleansing, and transformation.
• Knowledge of data warehousing concepts and experience with ETL tools and processes.
• Monitor and troubleshoot data pipeline issues and implement solutions to improve performance and reliability.
• Strong programming skills in Python, with experience in data manipulation libraries such as Pandas and NumPy.
• This role will involve building and optimizing data pipelines, implementing CI/CD pipeline.
• Stay up-to-date with the latest industry trends and best practices in data engineering and analytics.

Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 1,20,000 colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need.

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.