Position Details
About this role
This role involves designing, building, and maintaining scalable data pipelines and analytics solutions within McKesson's Decision Intelligence organization, supporting healthcare data initiatives.
Key Responsibilities
- Design and maintain data pipelines
- Translate business requirements into technical solutions
- Develop data transformations and models
- Ensure data quality and performance
- Collaborate with cross-functional teams
Technical Overview
The technical environment includes SQL, Python, Databricks, Snowflake, Azure Data Factory, Power BI, Tableau, Apache Airflow, and cloud-based data solutions, with a focus on data quality, transformations, and ML support.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 4+ years of experience designing and maintaining scalable data pipelines, proficient in SQL and Python, with experience in cloud platforms like Azure and data tools such as Databricks and Snowflake.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with SQL and Python, No experience with data pipelines or ETL/ELT, No cloud platform experience, No relevant degree or equivalent
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