
Snowflake Data Engineer
2 weeks ago
Key Responsibilities:
">Design and develop scalable data warehouses, implementing efficient data models to ensure high-performance data processing.
Write complex SQL queries, stored procedures, and UDFs for data transformation using Snowflake development best practices.
Optimize query performance using clustering, partitioning, and materialized views to improve overall system efficiency.
Implement Snowflake features like Time Travel, Zero-Copy Cloning, Streams & Tasks for enhanced data management.
Data Pipeline Development
">Build and maintain ETL/ELT pipelines using Snowflake, Snowpark, Python, or Spark for seamless data integration.
Integrate Snowflake with cloud storage (S3, Blob) and data ingestion tools like Snowpipe for efficient data flow.
Develop CDC (Change Data Capture) and real-time data processing solutions for timely insights.
Data Modeling & Warehousing
">Design star schema, snowflake schema, and data vault models in Snowflake to optimize data storage and retrieval.
Implement data sharing, secure views, and dynamic data masking to ensure data security and compliance.
Maintain data quality, consistency, and governance across Snowflake environments for reliable insights.
Performance Tuning & Troubleshooting
">Monitor and optimize Snowflake warehouse performance through scaling, caching, and resource usage optimization.
Troubleshoot data pipeline failures, latency issues, and query bottlenecks to minimize downtime.
Collaborate with DevOps teams to automate deployments and CI/CD pipelines for efficient workflow.
Required Skills & Qualifications:
">8+ years of experience in database development, data warehousing, or ETL with a focus on Snowflake development.
4+ years of hands-on Snowflake development experience with strong expertise in Snowflake SQL and ETL/ELT pipelines.
Strong knowledge of cloud platforms (AWS/Azure) and data integration tools like Coalesce, Airflow, and DBT.
Certifications: SnowPro Core Certification (preferred).
About the Role:
">This role is ideal for experienced professionals looking to leverage their skills in Snowflake development and data integration.
The successful candidate will have a strong passion for data engineering and a commitment to delivering high-quality results.
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