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Job Location: Northfield, IL
Job Summary
Identify data needs for the people team and people-focused teams across Medline, understand specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable a science-driven people function.
Major Responsibilities
- Develop and maintain people databases, datasets, pipelines, and warehouses by utilizing structured and unstructured data from internal and external sources.
- Establish and build processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required.
- Develop technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
- Ensure data is stored conforming to frequently changing international regulations (e.g. GDPR) and best practices around people data storage and security.
- Own critical data pipelines and constantly improve pipeline efficiency and data quality.
- Conduct research into new data warehouse applications and determining viability for adoption.
- Assist with the design and management of our technology stack used for data storage and processing.
- Collaborate with multiple teams in high visibility roles and own the solution end-to-end.
- Produce ideas for exploratory analysis that shape future projects and growth initiatives.
- Create dashboards and reports to regularly communicate business results to executive leadership.
- Contribute to the development and education plans on data engineering capabilities, systems, standards, and processes.
Education
Typically requires a Bachelor’s degree in Computer Science, Math, or a related technical field.
Certification / Licensure
n/a
Work Experience
- Experience working in data warehousing, data architecture and/or data engineering environments at enterprise scale.
- 3+ years of overall technology experience, that includes at least 2+ years of hands-on data engineering, and data architecture.
- 2+ years of SQL experience.
- Experience working with any ETL tools.
- Experience working with relational SQL including Azure SQL Data Warehouse etc.
- Experience with version control systems like Github.
Knowledge / Skills / Abilities
- Strong sense of initiative and curiosity around process automation and ability to independently make recommendations and take on projects from beginning to end.
- Ability to analyze data to identify problems, gaps and inconsistencies.
- Communication skills including the ability to identify and communicate data driven insights to senior leadership.
Work Experience
Preferred Job Requirements
- 1+ year of Python programming experience.
- Experience in Azure Data Factory will be a plus.
Primary Location
US-IL-Northfield
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