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 effective 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.

Essential Skills

- Advanced Snowflake expertise (architecture, optimization, governance).
- Strong hands-on experience with Snowflake (data warehousing, performance tuning, security).
- Strong SQL skills with stored procedure development.
- Solid understanding of SQL and advanced query optimization techniques.
- Strong leadership in SQL-based ETL and stored procedure frameworks.
- Deep understanding of retail data domains and compliance frameworks.
- Proven experience in cloud-native ETL (Informatica, Talend).
- Experience in managing cross-functional teams and delivery pipelines

Desirable Skill

- Exposure to ML pipelines for retail analytics.
- Strategic experience in cost optimization and performance tuning.
- Strategic use of Cortex for innovation and advanced analytics.

Qualification:

- Experience: 5–10 years in data engineering, with 5+ years in Snowflake leadership/managerial roles.
- Education: Bachelor’s or master’s degree in computer science, Data Science, Bioinformatics, or related field.

Qualities:

- Strong analytical and problem-solving mindset.
- Detail-oriented with a focus on data accuracy and compliance.
- Excellent communication and stakeholder management skills.
- Ability to work independently and collaboratively in cross-functional teams.
- Adaptability to fast-paced and regulated environments.

📌 Snowflake Senior Data Engineer (Pune)
🏢 InfoCepts
📍 Pune