Data Engineer

1 week ago

tamil nadu, 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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