Data Engineer - HR Analytics & Workday Prism
INR 1500K-2000K (estimate) Mid-level Full Time
Tasks
- Automate data validation and quality checks
- Build and refresh features for HR data science models
- Design and maintain scalable data pipelines for HR analytics
- Develop ETL and ELT processes across HR platforms
- Develop and support custom API integrations for model deployment
- Document data lineage and maintain data dictionaries
- Ensure data privacy and governance compliance
- Implement data quality frameworks and automated validation
- Implement data transformation logic for analytics and machine learning
- Implement machine learning data preprocessing workflows
- Monitor pipeline reliability and performance
- Support data stewardship and resolve data quality issues
Perks/Benefits
- N/A
Skills/Tech-stack
API Integrations | AWS SageMaker | Agile | Apache Spark | Azure | CI/CD | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Validation | Data Warehousing | Databricks | Dimensional Modeling | ELT | ETL | GCP | Informatica | Java | Kafka | Machine Learning | Power BI | Prism analytics | Python | R | SQL | Tableau | Talend | Workday | Workday HCM | Workday Prism | Workday Prism Analytics | Workday Reporting
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Information Systems
Roles
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