Proficiency in sql and python for data transformation
Experience building etl/elt pipelines
Hands-on experience with databricks and delta lake
This role involves transforming raw data into high-quality, analytics-ready tables while applying data modeling best practices and governance standards
Job Summary
This role involves transforming raw data into high-quality, analytics-ready tables while applying data modeling best practices and governance standards.
The position offers the opportunity to grow and thrive alongside high-achieving teams in a company that values balance and flexibility.
Candidates will partner with analysts and business stakeholders to translate requirements into data specifications and support the adoption of published data products.
Matching Summary
Match Score: 75
This role involves transforming raw data into high-quality, analytics-ready tables while applying data modeling best practices and governance standards.
Skills & Requirements
Must-have
Proficiency in SQL and Python for data transformation
Experience building ETL/ELT pipelines
Hands-on experience with Databricks and Delta Lake
Understanding of medallion architecture concepts
Knowledge of cloud data engineering fundamentals
Nice-to-have
Familiarity with BI/visualization tools like Tableau or Power BI
Biopharma or pharmaceutical industry experience
Experience with commercial pharma datasets
Strong problem-solving and communication skills
Ability to work with technical and business partners
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
1–3 years of hands-on experience in data engineering
Experience processing large-scale structured and semi-structured datasets