Description

You will design, build, and maintain data solutions, pipelines, and warehouses using AWS, Databricks, Redshift, and Snowflake. This role is on-site.

Responsibilities

• Develop and optimize ETL/ELT processes for batch and real-time data extraction and loading.
• Design and manage Data Lakes and Data Warehouses, integrating data from diverse enterprise sources.
• Write advanced SQL queries with performance tuning to support analysis and application needs.
• Manage the full development lifecycle for data warehouse applications, from requirements to testing and debugging.
• Integrate and enhance Enterprise Data Warehouses to consolidate data across the organization.

Required Skills

• 5+ years of experience in data engineering or analytics roles.
• Proficiency with AWS, Databricks, Redshift, and Snowflake.
• Strong expertise in ETL/ELT development and data pipeline construction.
• Advanced SQL skills, including query optimization and performance tuning.
• Experience managing Oracle and SQL Server databases.
• Bachelor's degree in a related field.

Key Skills

Education

Bachelor's degree