Snowflake Data Engineer

Experience Range is 8 -12 years

Looking for Senior Snowflake Data Engineer with expertise in Python. The ideal candidate should have solid experience in designing and implementing ETL processes, utilizing AWS data engineering tools, and building scalable data solutions in Snowflake. He / she will play a critical role in transforming raw data into actionable insights and driving data-driven decision-making across the organization.

• Solid experience with Snowflake data warehousing, including data loading, querying, and performance tuning.
• Proficiency in Python for data engineering tasks, including ETL processes and data manipulation.
• Experience with AWS data engineering tools such as AWS Glue; usage of S3.
• Solid understanding of ETL processes and data transformation techniques; Experience of dbt or any other tool is a plus
• Strong at writing Complex SQL for data querying and manipulation.
• Knowledge of data modeling and data warehousing best practices.
• Experience with data quality and data governance principles.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.