Senior Snowflake Engineer

Responsibilities

• Design, develop, and maintain efficient and scalable Snowflake data warehouse solutions on AWS.
• Build robust ETL/ELT pipelines using SQL, Python, and AWS services (e.g., Glue, Lambda, S3).
• Collaborate with data analysts, engineers, and business teams to gather requirements and design data models aligned with business needs.
• Optimize Snowflake performance through best practices in clustering, partitioning, caching, and query tuning.
• Ensure data quality, accuracy, and completeness across data pipelines and warehouse processes.
• Maintain documentation and enforce best practices for data architecture, governance, and security.
• Continuously evaluate tools, technologies, and processes to improve system reliability, scalability, and performance.
• Ensure compliance with relevant data privacy and security regulations (e.g., GDPR, CCPA).

• QualificationsBachelor s degree in Computer Science, Information Technology, or a related field.
• Minimum 6 years of experience in data engineering, with at least 3 years of hands-on experience with Snowflake.
• Strong experience working with AWS services such as S3, Glue, Lambda, Redshift, and IAM.
• Proficient in SQL and Python for data transformation and scripting.
• Solid understanding of data modeling principles (Star/Snowflake schema, normalization/denormalization).
• Experience in performance tuning and Snowflake optimization techniques.
• Excellent problem-solving skills and ability to work independently or as part of a team.
• Strong communication skills, both written and verbal.