Description

Build and maintain reliable ETL pipelines for S3 and Snowflake, ensuring high data quality and seamless integration for downstream reporting.

This role is on-site.

Responsibilities

• Design, develop, and optimize ETL workflows to transfer data from file services to S3 and Snowflake.
• Implement data quality checks to ensure accuracy and reliability throughout the ingestion process.
• Address data inconsistencies and load failures to preserve pipeline integrity.
• Monitor pipelines, troubleshoot issues, and implement solutions to maintain continuous data flow.
• Collaborate with business owners and BI teams to translate requirements into technical data solutions.

Required Skills

• 8+ years of demonstrated experience in data engineering.
• Strong expertise in Python, PyPI, and SQL.
• Hands-on experience with Snowflake and AWS S3.
• Proven track record of designing and maintaining ETL processes.
• Understanding of fundamental public-cloud capabilities.
• Knowledge of cybersecurity principles related to code development and data access.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• Ability to comprehend business needs and convert them into technical requirements.

Key Skills

Education

Bachelor's degree