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Key Responsibilities:
Develop and maintain data pipelines and ETL processes using Snowflake, Streams & Tasks, and Snowpipe.
Leverage Snowpark to build scalable data transformations in Python.
Implement Secure Data Sharing, Row-Level Security, and Dynamic Data Masking for governed data access.
Create and manage materialized views, automatic clustering, and search optimization for performance tuning.
Collaborate with data scientists, analysts, and DevOps teams to deliver end-to-end data solutions.
Monitor query performance, troubleshoot issues, and recommend optimizations using Query Profile.
Required Technical Skills:
Strong expertise in Snowflake SQL and data modeling (Star/Snowflake schema).
Hands-on with Snowpark, Streams/Tasks, and Secure Data Sharing.
Proficiency in Python or Java for data processing with Snowpark.
Experience with cloud platforms: AWS, Azure, or GCP (Snowflake hosted environments).
Familiarity with CI/CD, Git, and orchestration tools (e.g., Airflow, DBT).
Working knowledge of data governance, data security, and compliance best practices
Qualifications:
Bachelors or Masters degree in Computer Science, Information Systems, or a related field.
Snowflake certification is a strong plus (e.g., SnowPro Core or Advanced).
Mandatory Skills:
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