Snowflake Senior Data Engineer

Job Title: Senior Data Engineer-Snowflake 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 dynamic tables, automation, and advanced Snowflake features for efficiency.