Data Engineer with Workday

4 days ago

Mumbai, Maharashtra, India AceStack Full time ₹ 5,00,000 - ₹ 12,00,000 per year

Role - Data Engineer with Workday

Location – Pune & Hyderabad, India

FTE

HRIS module: workday is mandatory

Skillset: power bi + sql + python + aws

JD

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

· explain cConfigure 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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