About the Role

We are looking for a Data Engineer with 3–5 years of experience to build and maintain data pipelines, Snowflake integrations, and data platforms while supporting the administration, performance, security, and reliability of our database environments.

The ideal candidate should have strong SQL and RDBMS fundamentals, hands-on Snowflake experience, and the ability to work across relational and No SQL databases.

Key Responsibilities

Data Engineering & Snowflake
Design, develop, and maintain data pipelines and ETL/ELT processes using Snowflake. Develop complex SQL queries, transformations, views, stored procedures, tasks, and streams. Build incremental data ingestion and data synchronization pipelines. Implement and maintain Snowflake integrations with external applications, cloud storage, and data sources. Work with stages, file formats, COPY, Snowpipe, storage integrations, and connectors. Monitor and troubleshoot data pipelines and resolve data quality and processing issues. Optimize Snowflake queries and workloads for performance, scalability, and cost.



Support data modeling and schema design for analytical workloads. Database Operations
Manage and maintain databases across RDBMS and No SQL environments. Perform database administration activities including user/role management, access control, security, monitoring, maintenance, and troubleshooting. Implement and maintain RBAC and least-privilege access across database platforms. Monitor database health, performance, storage, and resource utilization. Perform query and database performance tuning and identify optimization opportunities. Support backup, recovery, disaster recovery, and database maintenance activities. Troubleshoot production database issues and participate in root-cause analysis and incident resolution. Maintain database standards, documentation, and operational procedures. Required Skills & Experience
3–5 years of experience in Data Engineering or a similar role. Robust hands-on ex

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