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

Data Engineer