Sr Data Engineer

McKesson

$129,000 - $215,000; bonus/equity: annual bonus or...
Snowflake, databricks, azure data factory
Pyspark, analytical sql, splunk
Alation, r, python
The Senior Data Engineer will be part of McKesson Decision Intelligence team, managing data exploration, analysis, requirements assessment, and defining data definitions, business rules, and lineage

Job Summary

  • The Senior Data Engineer will be part of McKesson Decision Intelligence team, managing data exploration, analysis, requirements assessment, and defining data definitions, business rules, and lineage.
  • Key responsibilities include collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, and conducting various types of testing.
  • McKesson fosters a culture where you can grow, make an impact, and are empowered to bring new ideas, shaping the future of health.

Matching Summary

The Senior Data Engineer will be part of McKesson Decision Intelligence team, managing data exploration, analysis, requirements assessment, and defining data definitions, business rules, and lineage.

Salary

$129,000 - $215,000; Bonus/Equity: Annual bonus or long-term incentive opportunities may be offered; Benefits: Not specified

Skills & Requirements

Must-have

  • Snowflake, Databricks, Azure data factory
  • PySpark, Analytical SQL, Splunk
  • Alation, R, Python
  • Data governance practices
  • Scalable and reliable data engineering solutions
  • Advanced statistical and mathematical methods

Nice-to-have

  • Automation first, enterprise first mindset
  • Continuous improvement and optimization
  • Championing tech debt addressal pursuits
  • Consultative direction towards broad goals
  • Innovative and creative problem-solving skills

Key Requirements

  • 7+ years of experience in data analytics
  • At least 2 years in a leadership or mentorship role
  • Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, or a related field
  • Proficiency in SQL, Python, R, or similar analytical tools
  • Experience with data visualization platforms
  • Strong understanding of statistical analysis, predictive modeling, and data mining techniques
  • Experience with analytical tools such as Databricks & Snowflake
  • Excellent communication and stakeholder management skills
  • Ability to manage multiple projects and priorities

Work Rights

Not specified

Tailored Resume

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