Description

You will design and optimize large-scale data pipelines using Snowflake and Databricks. You own the end-to-end data architecture, from ingestion to access management, ensuring scalability and reliability.

This role is on-site.

Responsibilities

• Build and optimize ETL/ELT pipelines for extraction, transformation, validation, and loading.
• Implement dimensional data modeling using star and snowflake schemas.
• Administer platform configurations, including database design, schema management, and role-based access controls.
• Develop Power BI dashboards, DAX models, and reports using modern BI tools like Sigma Computing and ThoughtSpot.
• Establish data lineage, quality monitoring, and cost optimization strategies across Snowflake and Databricks.

Required Skills

• 5+ years of hands-on data engineering experience.
• Deep expertise in Snowflake and Databricks platforms.
• Advanced SQL proficiency for complex data processing and automation.
• Strong experience with ETL/ELT pipeline development and architecture.
• Proficiency in data modeling techniques and system design.
• Experience with Power BI, DAX, and dashboard development.
• Bachelor's degree in a technical field.

Preferred Skills

• Familiarity with Sigma Computing and ThoughtSpot.
• Experience implementing data lineage and monitoring frameworks.
• Strong communication skills for driving technical initiatives independently.

Key Skills

Education

Bachelor's degree