Description

You will design and optimize large-scale data pipelines using Snowflake and Databricks, ensuring scalability, reliability, and cost efficiency.

This role is on-site.

Responsibilities

• Build and maintain ETL/ELT pipelines for ingestion, transformation, and loading processes.
• Implement data architecture focusing on dimensional modeling, star schemas, and access management.
• Optimize compute and storage costs across Snowflake and Databricks platforms.
• Develop and manage data lineage, quality, and monitoring frameworks.
• Create dashboards and data models using Power BI, Sigma Computing, and ThoughtSpot.

Required Skills

• 5+ years of hands-on data engineering experience.
• Deep expertise in Snowflake and Databricks data platforms.
• Advanced SQL proficiency for data processing and automation.
• Strong background in data modeling (star/snowflake schemas) and data architecture.
• Experience with Power BI, including DAX and dashboard development.
• Proficiency in platform administration, including roles, permissions, and schema management.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree