Snowflake Developer

Our direct client is looking for Data Engineer/Snowflake Developer, Hybrid in Minneapolis, MN area. Duration – 12 months with extension. Please send me your rate, contact details, current location.

NO- H1B, Opt/CPT

Primary Job Duties/ Tasks

• Analyze the current data environment, including data sources, pipelines, and legacy structures, to determine required transformations and optimal migration strategies into Snowflake.

• Collaborate with stakeholders and data architects to design and implement scalable, secure, and cost-effective data architecture using Snowflake.

• Re-engineer legacy reporting logic  by translating them into Snowflake SQL and optimizing performance.

• Develop and automate ELT/ETL data pipelines using Snowflake''s native features and tools such as Snowpipe, Streams, Tasks, Informatica, and integration with external orchestration tools (e.g., dbt, Airflow).

• Partner with analysts and business users to build efficient, reusable data models and secure views within Snowflake that support downstream reporting (e.g., Power BI, Tableau, or Looker).

• Optimize query performance and data governance by implementing best practices in Snowflake for security, access control, caching, clustering, and cost monitoring.

• Support training, documentation, and knowledge transfer to internal teams, ensuring smooth adoption and use of Snowflake-based solutions.

Job Specific Knowledge, Skills, and Abilities (KSAs)

• Expert level SQL programming is REQUIRED for this position.

• Proven experience with Snowflake platform architecture and data warehousing concepts.

• Expertise in building efficient, secure, and scalable data models in Snowflake using views, materialized views, and secure shares.

• Strong knowledge of ELT/ETL patterns and tools (e.g., dbt, Airflow, Talend, Informatica, MS SSIS, Fivetran).

• Solid understanding of data governance, security roles, masking policies, and RBAC within Snowflake.

• Experience working with cloud storage integrations (e.g., AWS S3, Azure Blob) and external tables in Snowflake.

• Familiarity with dimensional modeling (Star/Snowflake Schema), OLAP concepts, and reporting layers for BI tools.

• Strong communication and analytical skills for working with cross-functional teams and converting data requirements into technical solutions.

• Strong understanding of current data governance concepts and best practices.

• Knowledge of data migration best practices from external data sources and legacy systems (e.g., mainframe, DB2, MS SQL Server, Oracle) into Snowflake.

Preferred KSAs:

• Experience with data visualization tools (Power BI, Tableau, Looker) and building BI semantic models using Snowflake as a backend.

• Exposure to mainframe systems, legacy flat files, and their integration with cloud-based platforms.

• Familiarity with Agile/SCRUM frameworks and experience working in iterative development cycles.

• Experience with Oracle Data Warehouse.

• Understanding of DevOps and CI/CD practices in data engineering (e.g., Git, dbt Cloud, or GitHub Actions).