Position: Data Engineer
Location: Nagpur/Pune
Type of Employment: Full-time
Purpose of the Position: To design, develop, and maintain scalable data pipelines and models in Snowflake for retail operations, enabling accurate reporting and analytics across customer, sales, inventory, and workforce domains.
Key Result Areas and Activities:
- Data Pipeline Development: Integrate data from different sources like MMS, CRM, Workday, Courion, and other sources via S3 files, APIs, or direct staging in Snowflake.
- ETL Development: Build and optimize ETL workflows using Talend , AWS Glue and SQL stored procedures.
- Data Modeling: Create and maintain Snowflake tables and layered views for business consumption.
- Collaboration: Work closely with data analysts, business stakeholders, and regulatory teams to understand data needs and deliver solutions.
- Performance Optimization: Ensure efficient query performance and cost-effective data processing in Snowflake.
- Documentation & Governance: Maintain clear documentation of data models, transformations, and lineage to support audit and compliance requirements.
