Description

You will architect, design, and implement large-scale data and analytics solutions on the Snowflake Cloud Data Warehouse.

Responsibilities

• Design and operationalize EL pipelines using Databricks, Python, and SnowSQL.
• Develop UNIX and Python scripts for extract, load, and transform processes.
• Translate mapping specifications into data transformation designs and code.
• Provide production support for data loading and transformation issues.
• Perform code reviews to ensure optimal execution patterns and adherence to standards.
• Monitor Operational Level Agreements for warehouse health, performance, and cost.

Required Skills

• Minimum 3 years of experience designing and implementing production-grade data solutions on MS Azure Snowflake.
• Hands-on experience with SnowSQL, SnowPipe, Python, Tasks, Streams, and Time travel.
• Proficiency with Databricks and MS Azure configuration items.
• Strong knowledge of Data Warehousing, including OLTP, OLAP, Dimensions, Facts, and Data modeling.
• Experience with Snowflake utilities including Optimizer, Metadata Manager, and data sharing.
• Ability to automate data pipelines using cloud-based testing.
• Experience managing and driving performance for local and offshore developer teams.
• Competency in UNIX scripting.

Preferred Skills

• Bachelor’s degree in Computer Science, Engineering, or Technical Science.
• 3 years of experience in the Finance or Banking industry.
• Expertise in code optimization and large-scale technical architecture.

Key Skills

Education

Any Graduate