Key Responsibilities:

Data Infrastructure Development:

• Design, implement, and maintain robust data pipelines to integrate and process data from various HR systems (e.g., ATS, HRIS, payroll, and performance management tools).
• Build scalable and secure data architecture to support HR analytics and reporting needs.

Data Management and Integration:

• Ensure seamless data integration across multiple platforms, ensuring data accuracy and consistency.
• Collaborate with IT and vendors to manage APIs and other integration tools.

Data Quality and Governance:

• Develop and enforce data quality standards, ensuring HR data integrity and security.
• Monitor, troubleshoot, and resolve data-related issues in a timely manner.

Analytics and Reporting Support:

• Partner with HR Analytics and Business Intelligence teams to create and optimize dashboards, visualizations, and reports.
• Enable predictive analytics by preparing and organizing data for machine learning and statistical models.

Collaboration and Stakeholder Engagement:

• Work closely with HR and business leaders to understand data requirements and translate them into technical solutions.
• Train and support HR teams in accessing and interpreting data insights.

Qualifications:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 3–5 years of experience in data engineering, preferably with exposure to HR data systems.
• Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or similar).
• Experience with ETL tools (e.g., Apache Airflow, Talend, Informatica).
• Familiarity with HR software and platforms (e.g., SAP SuccessFactors, Workday, Oracle HCM).
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data tools (e.g., Hadoop, Spark).
• Strong understanding of data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R).