Senior Data Engineer

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).