Snowflake Data Engineer

1 week ago

Hyderabad India Anblicks Full time

Job Description Key Responsibilities - Design, develop, and maintain scalable ETL/ELT pipelines in Snowflake to support data migration from legacy systems. - Leverage Python for data transformation, automation, and orchestration of migration workflows. - Optimize and refactor complex SQL queries to ensure efficient data processing and reporting in Snowflake. - Collaborate on data modeling and schema design to align with Snowflake architecture and performance best practices. - Monitor and troubleshoot data pipeline performance during and after migration phases. - Work closely with data analysts, scientists, and business stakeholders to ensure accurate and timely data delivery. - Implement and enforce data governance, security policies, and access controls within Snowflake. - Collaborate with DevOps teams to integrate data engineering workflows into broader CI/CD frameworks. Required Skills - 46 years of experience in data engineering, with proven expertise in Snowflake and Python. - Strong command of Snowflake features such as scripting, time travel, virtual warehouses, and query optimization. - Hands-on experience with ETL tools, data integration strategies, and migration methodologies. - Solid understanding of data warehousing principles, normalization techniques, and performance optimization. - Familiarity with cloud platforms (AWS, Azure, or GCP) and orchestration tools. - Excellent problem-solving skills and ability to work independently in a dynamic, fast-paced environment. - Understanding of version control systems, particularly Git, including branching, merging, and pull request workflows - Experience with Snowflake advanced features including Snowpipe, Streams, Tasks, and Stored Procedures. - Familiarity with ETL orchestration tools such as Airflow, DBT, or Matillion. - Ability to work with semi-structured data formats like JSON and Parquet.

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