Senior Data Engineer

January 3

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PRECISIONvalue

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PRECISIONvalue is a company that specializes in accelerating clinical research and development through the integration of trials, labs, and data science. They focus on demonstrating the value of life-science innovations by assessing clinical, economic, and humanistic evidence and communicating this to maximize the commercial success of medical treatments. Their expertise lies in market access marketing, providing insights from an experienced team of former payer decision makers to support clients across various market channels including health plans, PBMs, employers, and specialty pharmacies. PRECISIONvalue offers full-service agency support for product launches and commercial success strategies in the life sciences sector.

501 - 1000 employees

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

📋 Description

• The Senior Data Engineer is responsible for designing, developing and ensuring on-going quality management of processes and workflows. • In this role, they will work closely with our Product Management and Delivery teams to understand the needs of our clients. • They will actively manage identification and justification of new data/analytics or automation opportunities for the products they support. • Ability to translate business requirements into technical requirements. • Partner with SMEs to develop ad-hoc data queries and support tools. • Manage and improve monthly data operations processes for multiple product lines. • Active contributor on DevOps platforms to systematically manage code-base. • Take ownership of previously built solutions and support future enhancements. • Carry out existing and build new data ETLs for data management. • Manage continuous integration / continuous deploy (CI/CD) pipelines for dashboards and datasets for the organization ensuring change management and version control for data assets. • Conduct risk-based code reviews for solutions authored by our development partners. • Work with the Product Team to implement new application enhancements and features. • Interact with end users, internal users, development vendors, data analysts, and other engagement team members. • Carry out internal dev tasks as delegated. • Work on automating various data loading as well as data validation tasks.

🎯 Requirements

• Minimum 4 years’ experience designing and reviewing complex data ecosystems with focus on data analysis systems including data warehousing, reporting, and strategic analytics. • 3+ years’ experience with cloud-based infrastructure (AWS, Azure, et al.), cloud database management (e.g., Snowflake). • Working Experience with Stored procedures preferably for ETL automation. • 2+ years of Data modelling and preferably being a data architect for complex data ecosystems. • Ability to design data ecosystems, and optimize existing data models. • Experience moving from ideation to execution for new projects. • Fluency with SQL (Procedures), data warehousing, data analysis and experience with cloud based technology. • Fluency with code versioning systems/ tools – Git, and experience with CI/CD setups, preferably AWS DevOps (or any other). • Experience in Life Sciences. • Experience leading technical discussions such as technology reviews. • Experience working in an onshore-offshore model.