What awaits you/ Job Profile

- Design, build, and manage scalable data solutions on the Snowflake platform.

- Work with Snowflake data structures, focusing on performance tuning, query optimization, and efficient resource usage.

- Support data migration and integration across cloud-based data platforms.

- Optimize system performance and cost by improving data pipelines and warehouse usage.

- Manage and maintain secure data environments using proper access control and governance practices.

- Work across multiple environments, ensuring smooth deployments and consistency.

- Collaborate with teams to ensure reliable, high-performance data solutions that meet business needs.

- Mentor and guide junior developers, conduct code reviews, and enforce best practices.

- Understanding deployment processes and system operations.

- Incident handling and environment stability.

- Coordination with external operations teams.

- Support in decommissioning, migration, and workplace readiness.

What should you bring along

- Strong problem-solving mindset with attention to detail.

- Understanding data lifecycle, integration patterns, and best practices.

- Proactive approach to identifying issues and improving data processes.

- Excellent communication and collaboration skills.

- Domain background in Financial Services/banking.

- Valuable understanding of Data Quality processes, methods and project lifecycle.

Must have technical skill





- Expertise with Snowflake tools such as Snow SQL, Snow pipe, and ETL data pipelines.

- Experience in migrating data from RDBMS to Snowflake cloud data warehouse.

- Ability to develop, test, and deploy scalable ETL/ELT pipelines on Snowflake.

- Experience managing Snowflake objects like tables, views, stages, streams, and tasks with focus on performance and cost optimization.

- Experience monitoring, troubleshooting, and optimizing Snowflake workloads and DBT models.

- Knowledge of Snowflake features like data sharing, event-based processing, and Lakehouse architecture.

- Understanding of data security, access control, and data governance in Snowflake.

- Experience validating ETL processes and writing SQL queries for data verification.

- Strong knowledge of data warehousing (DWH/ODS), ETL concepts, and data modelling principles.

- Experience with other cloud platforms such as Azure or AWS.

Good to have skills

- Familiarity with data warehousing concepts and modern architectures (Lakehouse, data lakes).

- Knowledge of ETL/ELT tools or frameworks (DBT, Informatica, Azure Data Factory, etc.).

- Basic understanding of data security, compliance, and governance practices.

- Experience with monitoring and logging tools for performance tracking.

- Exposure to scripting languages like Python for automation.

📌 Snowflake Data Engineer (Pune)
🏢 VEGA Intellisoft Private
📍 Pune