Design and implement scalable data pipelines and solutions using Snowflake.
Develop and optimize SQL queries, stored procedures, and views for performance and efficiency.
Configure and manage Snowflake environments, including security, roles, and resource monitors.
Integrate Snowflake with ETL tools (e.g., Informatica, Talend, dbt) and cloud platforms (AWS, Azure, GCP).
Implement data governance, security policies, and compliance standards.
Collaborate with data architects, analysts, and business stakeholders to deliver high-quality data solutions.
Monitor and troubleshoot performance issues, ensuring optimal query execution and cost management.

Requirements

10+ years in data engineering or development roles, with at least 3+ years of hands-on Snowflake experience.
Strong proficiency in SQL, data modeling, and data warehousing concepts.
Experience with ETL tools, Python, and cloud services (AWS/Azure/GCP).
Knowledge of Snowflake features: Streams, Tasks, Time Travel, Cloning, and Data Sharing.
Familiarity with performance tuning and cost optimization in Snowflake.
Must be able to pass a background check.
May require additional background checks as required by projects and/or clients at any time during employment.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

SnowflakeSQLdata modelingdata warehousingETLPythonperformance tuningcost optimizationdata governancecompliance standards

collaborationtroubleshootingcommunication