Snowflake Data Engineer

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 environment 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.

• Good 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.