Data Engineer

2 weeks ago

Belgaum, Karnataka, India Movate Full time

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

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