Skills: HCM - Expert, SQL - Advanced, Python - Intermediate, Snowflake - Advanced, Data Warehousing - Expert
Contract Type: W2
Duration: 6 Months
Location: Remote, CA
Pay Range: $55 to $58 per hour
Job Summary
As a pivotal member of the Enterprise Analytics team, the Senior HCM Data Engineer focuses on developing and maintaining advanced data warehousing solutions, optimizing data flows with SQL, and leveraging Python for process automation. This role involves intricate data modeling to support scalable solutions within Snowflake and ensuring the utmost data integrity through comprehensive quality checks. You'll be working collaboratively with various teams to deliver actionable insights from complex data sets, specifically within the HCM domain.
Job Responsibilities
- Design, develop, and maintain efficient data warehouses to support enterprise needs.
- Create, debug, and optimize SQL stored procedures, functions, and views for data accuracy.
- Utilize Python for scripting and automation, enhancing data workflows.
- Develop scalable and performant data models in Snowflake, aligning with project requirements.
- Ensure high data quality and integrity through rigorous validation and cleansing.
JOB REQUIREMENTS:
- Minimum of 12 years of experience in data engineering or related roles and Strong expertise in data warehousing concepts and best practices.
- Experience with Snowflake data warehousing is ideal. But experience with other DW tools like SQL Server, Oracle, SAP HANA will also be considered.
- Strong proficiency in SQL programming, including the ability to create and debug stored procedures, functions, and views.
- Experience with Python for scripting and automation tasks is preferred.
- Prior experience with data extraction & reporting on HCM data (ex: Workday, OHCM, SAP HCM) is a must.\
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