Data Engineer supporting ingestion of mission - critical data into big data environment at IAMUS Consulting. Leading department with extensive experience in software and data engineering.
About the role
- Data Architect implementing scalable data models for HR analytics at Ness Digital Engineering. Collaborating with cross-functional teams to translate business needs into data solutions.
Responsibilities
- Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting.
- Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems.
- Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance.
- Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations.
- Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes.
- Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets.
- Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy.
- Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions.
Requirements
- Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms.
- Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools.
- Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques.
- Demonstrated experience working with HR data structures, Workday, or other HRIS systems.
- Strong analytical mindset and problem-solving ability, with attention to data integrity and business context.
- Experience with Python for data engineering, automation, or orchestration tasks.
- Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting.
Benefits
- Hybrid work arrangement (4 days from office)
- Professional development opportunities
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
Location requirements
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