Job Description :

Job Description:
Key Responsibilities:
  • Architected and implemented scalable Snowflake data models to support HR analytics, workforce planning, and KPI reporting.
  • Designed and optimized data integrations between Workday, Snowflake, and downstream analytics platforms to ensure accurate and reliable data flow.
  • Established and enforced data governance, quality, and metadata management standards to maintain data consistency and compliance.
  • Produced and maintained comprehensive technical documentation, including data dictionaries and transformation logic.
  • Monitored and tuned ETL/ELT pipelines to ensure high-performance data ingestion and transformation.
  • Collaborated with HR, Data Engineering, and Analytics teams to translate business requirements into reusable, governed data assets.
  • Conducted unit, integration, and regression testing to validate data pipelines and ensure data accuracy.
  • Supported end-to-end data solution lifecycle, including analysis, troubleshooting, and operational support.
Required Experience & Skills:
  • Proven experience designing and implementing solutions on Snowflake or similar cloud data warehouse platforms.
  • Advanced SQL expertise with hands-on experience optimizing data transformations and pipelines.
  • Strong knowledge of ETL/ELT frameworks, data validation, and reconciliation techniques.
  • Experience working with HR data models and HRIS platforms such as Workday.
  • Strong analytical and problem-solving skills with a focus on data integrity and business context.
  • Proficiency in Python for data engineering, automation, and orchestration.
  • Demonstrated success building analytical platforms and data warehouses to support HR reporting and insights.
Preferred Experience:
  • Experience designing and supporting HR or People Analytics data warehouses.

             

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