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).