Snowflake Data Engineer
Summary
Designs and builds scalable cloud data warehouse solutions on Snowflake, developing data pipelines, dbt data models, and ETL/ELT transformations with SQL and Python. The role supports enterprise analytics and reporting, requiring optimization of performance and work across AWS/Azure/GCP in Agile teams.
Location:
Pan India
Job Description:
We are seeking an experienced Snowflake & dbt Data Engineer with 6–12 years of experience in designing and implementing scalable cloud data warehouse solutions. The ideal candidate should possess strong expertise in Snowflake, dbt, SQL, Python, and cloud-based data transformation frameworks. The role involves building data pipelines, transforming data models, optimizing performance, and supporting enterprise analytics and reporting initiatives.
Must-Have Skills:
- Hands-on experience with Snowflake Data Cloud
- Strong expertise in dbt (Data Build Tool)
- Advanced SQL programming and query optimization
- Experience in Data Warehousing and Dimensional Modeling
- Strong Python programming skills
- Experience with ETL/ELT development and optimization
- Knowledge of Snowflake features such as:
- Virtual Warehouses
- Streams & Tasks
- Time Travel
- Zero Copy Cloning
- Snowpipe
- Secure Data Sharing
- Experience working with cloud platforms (AWS/Azure/GCP)
- Git/GitHub version control
Relevant Experience:
- 6–12 years of overall IT experience.
- Minimum 3+ years of hands-on experience with Snowflake.
- Minimum 2+ years of experience with dbt implementation.
- Strong experience in Data Warehouse modernization and cloud migration projects.
- Experience working in Agile delivery environments