What you'll do:

• Hands on experience design, development, testing, deployment and supporting data engineering and analytics solution using cloud based technologies.
• Design, develop, and maintain scalable SQL-based data pipelines and workflows.
• Proven implementations in code-driven end-to-end Data engineering solutions with version control and testing
• Strong implementation experience in spark projects using PySpark and SQL
• Experience with designing re-usable solution components and perform code-reviews

What makes you a great fit:

• Experience with ETL processes, data warehousing, and data integration techniques.
• Strong proficiency in SQL, with experience in database design, optimization, and performance tuning.
• Experience with Snowflake data warehousing solution
• Proficiency in scripting languages such as Python or R is a plus.
• Strong understanding of database design principles, data modeling, and schema optimization