Snowflake Data Engineer

Role

Snowflake Data Engineer

Location

Chennai (Hybrid)

Experience

6-10Years

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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.

• Optimizesystem performance and cost by improving data pipelines and warehouse usage.

• Manage andmaintainsecure data environments using proper access control and governance practices.

• Work across multiple environmentsensuring 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 andenvironmentstability.

• Coordination with external operations teams.

• Support in decommissioning migration and environment readiness.

Whatshouldyoubringalong

• Strong problem-solving mindset with attention to detail.

• Understandingdata lifecycle integration patterns and best practices.

• Proactive approach toidentifyingissues and improving data processes.

• Excellent communication and collaboration skills.

• Domain background in Financial Services/banking.

• Goodunderstanding of Data Quality processesmethodsand project lifecycle.

Must have technical skill

• Expertisewith Snowflake tools such asSnow SQLSnow 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 andoptimizingSnowflake workloads and DBT models.

• Knowledge of Snowflake features like data sharing event-based processing andLakehousearchitecture.

• 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 datamodellingprinciples.

• 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 toscripting languages like Python for automation.