Data Analytics Engineer
Ankit GiriUnited StatesMIDPosted 58m ago
SQLPower BICloud Data WarehousingETL/ELT Pipeline DevelopmentDimensional Data ModelingPythonAPI-Based Data IntegrationData QualitySnowflakedbtAirflowAzure Data FactorySmartRecruitersWorkdayWorkday Prism AnalyticsPower BI ServiceHR / Talent Acquisition Analytics
About the Role
We are looking for an experienced Data Analytics Engineer to build and automate an end-to-end Talent Acquisition reporting solution. This is a technical Data Engineering & BI role, NOT an operational recruiting position.
Key Responsibilities
• Build ETL/ELT pipelines integrating SmartRecruiters, Workday, Jira & ServiceNow
• Develop advanced SQL queries and data models
• Create Power BI dashboards for recruitment funnel, time-to-fill, offer metrics, sourcing effectiveness and recruiter productivity
• Develop DAX measures and governed semantic models
• Automate data refresh and implement data quality checks
• Collaborate with TA Leadership, HRIS, IT and Data Engineering teams
Requirements
• 4+ years of Data Engineering / Analytics experience
• Strong hands-on experience across SQL, Power BI, Cloud Data Warehousing and ETL pipelines
• Experience translating business requirements into scalable reporting solutions
• Advanced SQL – Complex Joins, Window Functions & Query Optimization
• Power BI – Dashboard Development, DAX & Semantic Modeling
• Cloud Data Warehousing – Snowflake, Databricks, BigQuery or Redshift
• ETL/ELT Pipeline Development & Automation
• Dimensional Data Modeling – Star Schema & SCD
• Python or R for Data Extraction and Transformation
• API-Based Data Integration
• Data Quality, Automated Refresh & Pipeline Monitoring