Description

Key Requirements:

• Proven hands-on expertise in data engineering with Snowflake and Databricks, including building and optimizing large-scale data pipelines.
• Strong understanding of data architecture fundamentals such as ingestion, transformation, storage, and access management.
• Solid experience in system and solution architecture, focusing on scalability, reliability, and maintainability.
• Extensive knowledge of ETL/ELT pipeline development, covering extraction, transformation, validation, and loading processes.
• Deep expertise in data modeling techniques, including dimensional modeling, star schema, and snowflake schema.
• Ability to optimize compute and storage costs across Snowflake and Databricks platforms.
• Proficiency in platform administration, including database design, schema management, user roles, permissions, and access controls.
• Hands-on experience implementing data lineage, data quality, and monitoring frameworks.
• Advanced proficiency in SQL for data processing, transformation, and automation.
• Strong experience in Power BI (data modeling, DAX, dashboard development) along with modern BI tools such as Sigma Computing and ThoughtSpot.
• Strong communication and collaboration skills, with the ability to work independently and drive technical initiatives

Key Skills

Education

Bachelor's degree