Job description
About the Role" "Data Engineer" "Responsibilities"
- Design and implement robust ETL pipelines to integrate data from multiple HR systems and sources.
- Develop optimized data models and schemas that support analytics and reporting requirements.
- Build and maintain scalable data infrastructure to enable people analytics initiatives.
- Manage Airflow workflows for pipeline orchestration and dbt models for data transformation.
- Create and optimize complex SQL queries for data analysis and reporting.
- Implement comprehensive data quality checks and monitoring systems to ensure accuracy and reliability.
- Partner with analysts to transform raw data into actionable insights for business stakeholders. "Required Skills"
- Bachelor's degree in Computer Science, Information Systems, or a related field (Master's degree preferred). - 5+ years of experience in data engineering.
- Expert-level proficiency in SQL and Python for data manipulation and analysis. - 2+ years of hands-on experience with Airflow. - 2+ years of hands-on experience with dbt.
- Strong expertise in AWS data services and cloud infrastructure.
- Proven track record of translating complex business requirements into scalable data solutions. "Desirable Skills"
- Experience working with Workday.
- Proficiency in data visualization tools (e.g., Tableau, Power BI).
- Knowledge of machine learning concepts and their application to people analytics.
- Experience with HR data and metrics. "Education Qualification"
- Bachelor's degree in Computer Science, Information Systems, or a related field (Master's degree preferred).