Job Summary

Be part of the product team responsible for developing and delivering Snowflake data models.

Responsibilities
Design and implement robust, scalable data pipelines using Snowflake and contemporary ETL/ELT frameworks.
Collaborate with data architects, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
Optimize Snowflake performance through clustering, partitioning, and query tuning.
Develop and maintain data models (star/snowflake schemas) and data marts for enterprise reporting.
Integrate data from diverse sources including APIs, cloud storage (AWS/GCP/Azure), and on-prem systems.
Ensure data quality, security, and governance through automated validation, masking, and role-based access controls.
Support CI/CD workflows and infrastructure-as-code practices using tools like Git

Qualifications
Technology/Tools: Sigma, Snowflake (Datawarehouse), Azure, integrations etc.,
Hands on experience with Snowflake modeling including but not limited to roles, databases, schemas, Store Procedures, UDf s, snowpipe, shares and streams etc.




Extensive knowledge of SQL, Python
Hands on experience with SQL performance measuring, query tuning and database tuning
Develop Snowflake Integration with third-party tools and able to manage and maintain pipelines
Experience with Azure or other cloud platforms
Bachelor s or Master s degree in Computer Science, Information Systems, or related field.
6 to 10 years of experience in data engineering, with at least 3 years working with Snowflake.
Solid proficiency in SQL and Python for data transformation and automation.
Hands-on experience with cloud platforms (AWS preferred)
Familiarity with data warehousing concepts, dimensional modeling, and performance optimization.
Experience with version control, DevOps practices, and Agile methodologies.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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