AWS/Azure Python Pyspark Databricks/Snowflake

Must-Have

• Strong experience in Snowflake, SQL for data manipulation and engineering tasks.
• Strong Expertise in SQL and Snowflake architecture
• Experience in one or more cloud platforms Preferably Azure /AWS/GCP
• In-depth knowledge of data warehousing concepts and experience in building and managing data warehouses.
• Knowledge in ETL concepts - needs to manage data migration into Snowflake. This includes extracting data from various sources, transforming it into a usable form, and loading it into the Snowflake platform.

Good-to-Have

• Knowledge of Data architecture, data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information
• Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying, managing, and scaling data infrastructure and services.
• Experience with version control systems such as Git for code management and collaboration.