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About the role
Design, build, and optimize robust data pipelines to create scalable, high-value data products. Collaborate with business stakeholders and engineering teams to bridge technical data architecture with business applications.
What they look for
Requirements
Requires 6+ years of experience and expertise in at least one area of the tech stack including Snowflake, AWS, Terraform, SQL, or Python. Candidates must demonstrate the ability to build data products, ingest data via APIs, and communicate effectively with stakeholders.
Full description
This is a remote position.
We are looking for a Senior Data Engineer with 6+ years of hands-on experience to design, build, and optimize robust data pipelines aimed at creating scalable, high-value data products.
In this role, you will play a central part in bridging technical data architecture with real-world business applications, collaborating directly with business stakeholders and engineering teams. We are actively hiring for specific project streams focused on our Study Patient domain (Master Consent Management & Patient Data Products).
Requirements
- Common tech stack used across different teams - need to be an expert in at least 1 area: ETL/ELT skills: Snowflake, AWS (including security & cost optimisation), Terraform, DataOps.Live, SQL, Python, Fivetran
- Experience building data products
- Experience ingesting data via API's
- Ability to understand and describe the problem and engage with business stakeholders
- Ability to communicate clearly, take responsibility, work independently as well as part of a team
Project specific technologies:
- Data Engineer - Study Patient (Master Consent Management)
- MongoDB (bonus)
- Data Engineer - Study Patient (Patient Data Products)
- Neo4J (bonus)
- Experience with sas7bdat files (bonus)
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