Snowflake Data Engineer with ADB, Python

• Databricks Snowflake Data Engineer
• Design, develop, and maintain scalable ETL pipelines using Databricks to process, transform, and load large datasets into snowflake or other data stores.
• Collaborate with cross-functional teams, including data architects, analysts, and business stakeholders, to gather data requirements and deliver efficient data solutions. Exposure to Snowflake Warehouse and exposure in SnowSQL.
• Experience in loading data into snowflake Data model using Pyspark Pipelines.
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
• Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.

Key Skill Sets Required

• Experience in designing and hands-on development in cloud-based analytics solutions. Expert level understanding on Databricks, Snowflake, Snowsql & Pyspark is required.
• Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is desirable.
• Experience developing security models.