Purpose of the Position: To lead the data engineering team in architecting and delivering enterprise-scale Snowflake solutions for retail analytics, ensuring alignment with strategic business goals and modernization initiatives.
Work Location: Chennai/Bangalore/Pune/Nagpur
Key Result Areas and Activities:
• Data Pipeline Development: Drive ingestion and transformation of multi-source retail data (MMS, CRM, Workday, Courion etc).
• Architecture Leadership: Define and implement Snowflake architecture for multi-layered retail data processing.
• ETL Strategy: Lead migration strategy from Netezza to Snowflake, ensuring automation and scalability.
• ETL Development: Build and optimize ETL workflows using Informatica, AWS Glue and SQL stored procedures.
• Strategic Alignment: Align data engineering practices with retail business priorities (sales, customer, workforce, inventory)
• Data Modelling:
Create and maintain Snowflake tables and layered views for business consumption.
• Data Governance: Implement standards for lineage, documentation, and compliance.
• Collaboration: Coordinate with team members, work closely with data analysts, business stakeholders, and regulatory teams to understand data needs and deliver solutions.
• Performance Optimization: Ensure efficient query performance, storage management and cost-effective data processing in Snowflake.
• Documentation & Governance: Maintain clear documentation of data models, transformations, and lineage to support audit and compliance requirements.
• Team Leadership: Mentor and manage engineers across different levels, ensuring delivery excellence.
• Innovation: Explore snowflake features like energetic tables, automation, and advanced Snowflake features for efficiency.
📌 Senior Data Engineer Snowflake (Nagpur)
🏢 InfoCepts
📍 Nagpur
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