Data Engineer

Position: Permanent

Role: Data Engineer

Experience: 5 Years

Location: Chennai / Bangalore /

Work Mode: Hybrid

Key Responsibilities

Data Management

• Develop data mapping specifications and transformation rules

• Perform data cleansing, validation, and reconciliation activities

• Create and execute data conversion scripts and processes

• Document data models, mappings, and migration procedures System Integration

• Configure integrations between Workday and third-party applications

• Develop integration specifications and technical designs

• Troubleshoot integration issues and implement solutions

• Monitor integration performance and implement optimizations Technical Configuration & Development

• Design and implement Snowflake data models optimized for HR analytics

• Create and maintain Snowflake objects (tables, views, stored procedures)

• Develop SQL transformations within Snowflake for reporting requirements

• Configure Workday modules according to design specifications

• Build and maintain business processes, security configurations, and reports

• Develop custom calculations, rules, and business logic

• Create and maintain configuration workbooks and technical documentation

• Participate in system testing, including unit, integration, and regression testing Reporting & Analytics

• Develop reporting solutions using Snowflake as the data source

• Create data visualization dashboards connected to Snowflake

• Build self-service reporting capabilities for HR and business users

• Design and implement metrics and KPIs for HR analytics

• Support data analysis needs throughout the implementation lifecycle

Required Experience & Skills

• 3+ years of experience in HRIS implementation, data management, or system integration

• 2+ years of hands-on experience with Workday/Greenhouse data conversion, integration, or reporting

• Experience with Snowflake or similar cloud data warehouse platforms

• Experience with architecting or working with ELT technologies (such as DBT) and data architectures

• Strong SQL skills and experience with data transformation tools

• Experience with ETL processes and data validation techniques

• Understanding of HR data structures and relationships

• Excellent analytical and problem-solving abilities

• Knowledge of programming languages (Python etc.)

• Experience with data visualization tools

• Understanding of API integration patterns and technologies

• Experience with agile development methodologies