Description

Design and maintain ETL processes, data ingestion pipelines, and streaming applications on AWS and Snowflake.

This role is on-site.

Responsibilities

• Build and optimize data pipelines using AWS services, Python, SQL, and Snowflake/Redshift.
• Integrate data extracts, loads, and reports with BI or analytical applications.
• Maintain data pipelines and marketing applications, resolving production issues and extending support.
• Collaborate with analysts and engineers using Redpoint Data Management, Control-M, and Databricks.
• Optimize SQL queries and manage AWS infrastructure performance.

Required Skills

• 8+ years of experience with AWS Cloud services.
• Strong proficiency in SQL, Python, and Linux/Unix shell scripting.
• Hands-on experience with ETL design and modern Data Warehousing concepts.
• Proficiency with RDBMS and data warehousing architectures.
• Experience with orchestration tools like Control-M and Databricks.
• Ability to perform duties independently and collaboratively in Agile teams.
• Bachelor’s degree in Data Science, Computer Science, or related field.

Preferred Skills

• Master’s degree in Data Science or related field.
• AWS certifications.

Key Skills

Education

Bachelor's or Master's degrees