Systems Developer Data Warehouse

This job is with Thermo Fisher Scientific, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Work Schedule

Other

Environmental Conditions

Office

Job Description

Summarized Purpose:

We are offering an outstanding opportunity to join Thermo Fisher Scientific as a Data Warehouse Developer. In this role, you will focus on designing, building, and optimizing database-centric solutions that power our analytical and operational data platforms. You will play a key role in developing robust, scalable data pipelines and warehouse structures -primarily on AWS Redshift—supporting data-intensive workloads and downstream reporting applications.

Education/Experience

• Bachelor’s degree or comparable experience in Computer Science, Information Science, or a related area of study
• Around 3+ years of experience in database development, data engineering, or a related field
• Equivalent combinations of education, training, and experience will also be considered
  
  

• Design, implement, and refine data warehouse schemas (e.g., star/snowflake models) and data pipelines in AWS Redshift or similar RDBMS platforms.
• Build and manage SQL-centric ETL/ELT procedures for the processing, transformation, and merging of data from diverse origins.
• Improve database performance through query optimization and efficient data processing.
• Collaborate with stakeholders to translate data needs into scalable and maintainable data structures.
• Support data quality, validation, and reconciliation processes to ensure accurate and reliable datasets.
• Engage with AWS services including Lambda, Step Functions, and S3 for orchestrating and automating data workflows.
• Participate in design reviews, documentation, and testing activities to ensure adherence to quality and compliance standards.
• Collaborate with Operations and DevOps teams to deploy and monitor data workflows using CI/CD pipelines where applicable.
• Troubleshoot production issues, analyze root causes, and propose balanced solutions.
• Leverage AI-assisted development tools to improve query efficiency, code refactoring, and documentation.
  
  

• Strong hands-on SQL development skills including complex queries, window functions, joins, and analytical operations.
• Mastery in data modeling and grasp of data warehousing principles (ETL/ELT, dimensional modeling, slowly altering dimensions).
• Experience working with large relational databases (e.g., Redshift, PostgreSQL, SQL Server, MySQL, Oracle).
• Knowledge of AWS cloud services, especially S3, Lambda, Redshift, and Step Functions.
• Familiarity with Python or NodeJS for scripting, automation, or data workflows based on Lambda.
• Excellent analytical and problem-solving skills with attention to detail.
• Strong communication and collaboration skills in a team-oriented environment.
  
  

• Advanced SQL and RDBMS experience – Ability to develop and optimize queries, stored procedures, and data transformations for large-scale data workloads.
• Data warehousing and ETL/ELT – Practical experience designing and maintaining data warehouse environments and data pipelines.
• Practical exposure to AWS services – Hands-on experience with AWS data services like Redshift, S3, Lambda, and Step Functions.
• Skilled in Python or NodeJS programming – Capable of using a programming language for automation or data integration purposes.
• Data modeling and schema creation – Experience crafting normalized and dimensional schemas for analytics and reporting.
  
  

• Exposure to data Lakehouse or big data environments (Databricks, Snowflake, or similar).
• Knowledge of AI-assisted or modern query optimization tools and practices.