Senior / Lead Data Engineer
AI summary of the role
Senior/Lead Data Engineer on the McKesson Decision Intelligence team, responsible for data exploration, pipeline architecture, and governance across the PSAS business unit.
What you’ll do
- Support a cross-functional team and provide in-depth data insights for complex business problems that can be approached with advanced analytics
- Build scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in batch and real-time mode
- Implement data governance practices in partnership with business stakeholders and peers to advocate for data literacy and data democratization across enterprise
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of data technologies
What you’ll bring
- 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role
- Proficiency in SQL, Python, R, or similar analytical tools
- Experience with analytical tools such as Databricks & Snowflake
- Experience with data visualization platforms such as Power BI, Tableau, or Looker
Technologies
Snowflake · Databricks · Azure Data Factory · PySpark · SQL · Splunk · Alation · R · Python · Power BI · Tableau · Looker
About McKesson
Distributes pharmaceuticals and medical supplies to 40,000+ customers including pharmacies, hospitals, and providers; offers specialty oncology, clinical trial, and pharmacy technology solutions globally.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
and defining as well as maintaining data definitions, business rules, and lineage. Additional duties involve documentation, collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, conducting different types of testing (functional, regression, exploratory), and preparing and executing test cases and plans. Key Responsibilities Support a cross-functional team and provide in-depth data insights for complex business problems that can be approached with advanced analytics Work closely with the other Data Engineers and Scientists to deliver results Citizen of PSAS BU data engineering team and enable the BU Driven Data Insights Coordinate and collaborate with program managers and other internal stakeholders including gathering requirements and modeling criteria Leverage tools and resources to plan, evaluate and
More from the job description
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Job title: Senior/Lead Data Engineer Current Need: The Senior / Lead Data Engineer will be part of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identification, exploratory research, and defining as well as maintaining data definitions, business rules, and lineage. Additional duties involve documentation, collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, conducting different types of testing (functional, regression, exploratory), and preparing and executing test cases and plans. Key Responsibilities Support a cross-functional team and provide in-depth data insights for complex business problems th [... source excerpt omitted ...] tizen of PSAS BU data engineering team and enable the BU Driven Data Insights Coordinate and collaborate with program managers and other internal stakeholders including gathering requirements and modeling criteria Leverage tools and resources to plan, evaluate and execute strategic initiatives Strong delegation and management skills to ensure work is conducted in a timely, quality fashion by internal and external partners and multi-shore teams/resources. Continuously improve and optimize business processes and operations. Identifying, publicizing the tech debt across data landscape and championing addressal pursuits. Data Engineering and Analytics support Thinks in automation f [... source excerpt omitted ...] nk, Alation, R, Python. Experience with SAP and IBM DataStage is also extremely beneficial. Communicate results and educate others through reports and presentations. Minimum Job Qualifications (Knowledge, Skills, & Abilities): Education/Training – Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, or a related field. 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role. Proficiency in SQL, Python, R, or similar analytical tools. Experience with data visualization platforms such as Power BI, Tableau, or Looker. Strong understanding of statistical analysis, predictive modeling, and data mining tech
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