Chief Data Architect

1 day ago

Rajahmundry, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Description:

The role of a Data Engineer involves designing and implementing data models, mappings, and migration procedures. It also entails creating and executing data conversion scripts and processes, as well as documenting data models, mappings, and migration procedures.

Key Responsibilities include developing data mapping specifications and transformation rules, performing data cleansing, validation, and reconciliation activities, creating and executing data conversion scripts and processes, and documenting data models, mappings, and migration procedures.

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, and develop custom calculations, rules, and business logic.

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, and support data analysis needs throughout the implementation lifecycle.

Required Skills and Qualifications include 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, and experience with agile development methodologies.

Requirements include a Graduate degree in Computer Science, Information Technology, or related field, a proven track record of delivering high-quality results in a timely manner, excellent communication and collaboration skills, and ability to work in a fast-paced environment.

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