Opening For ETL Developer

Job highlights

• 8-10 years in data engineering with 3+ years on Snowflake and Python ETL development

• Design and deploy enterprise-scale ETL pipelines, optimize Snowflake performance, develop Python ETL frameworks, and lead technical initiatives

• 8-10 years of progressive experience in data engineering, with at least 3 years focused on Snowflake and Python-based ETL development

• Expert-level proficiency in Snowflake, including advanced features (Snowpipe,snowpark, streams, tasks, dynamic tables), performance tuning, resource optimization, query profiling, and data sharing capabilities

• Advanced Python programming skills with demonstrated ability to build robust, production-grade ETL frameworks, implement design patterns, and develop reusable libraries

• Proven track record of architecting and deploying enterprise-scale ETL pipelines processing terabytes of data with high reliability and performance

• Deep expertise in SQL optimization, including complex window functions, recursive CTEs, and execution plan analysis

• Strong experience with version control (Git), CI/CD pipelines for data workflows, and infrastructure-as-code practices

• Comprehensive understanding of data modeling methodologies (dimensional modeling, Data Vault, star/snowflake schemas) and when to apply each approach

• Experience mentoring developers and leading technical initiatives