Senior Data Engineer

About the role

Snowflake Data Engineer – Python, PySpark & AWS We are seeking a skilled Snowflake Data Engineer with strong expertise in Snowflake, Python, PySpark, and SQL to design, develop, optimize, and maintain scalable data pipelines and data warehousing solutions.

What you'll do

• Design, develop, and maintain scalable ETL/ELT processes and data pipelines using Python, PySpark/Snowpark, SQL, and Snowflake
• Build, optimize, and manage data processing workflows and data transformation solutions on AWS, including Amazon S3
• Develop efficient SQL queries, stored procedures, and data transformation logic, applying performance optimization techniques
• Implement and maintain data warehousing solutions using dimensional modeling, normalized data structures, and industry-standard data modeling practices
• Work with GitHub and related development tools to manage source code, collaborate with team members, and support version control and CI/CD processes

What you need

• SQL
• Machine learning
• Python
• AWS
• ETL
• Data warehousing

Good to have

• Data modelling
• Snowflake
• Spark
• Airflow
• CI/CD
• Terraform