Description

You will design, develop, and maintain end-to-end ETL/ELT pipelines and data platforms.

This role is on-site.

Responsibilities

• Build and manage workflow schedules using AWS Airflow (MWAA) and native AWS services.
• Develop and optimize ETL/ELT pipelines using Python, AWS Glue, and Snowflake.
• Own the project lifecycle in JIRA, from sprint planning to rigorous design documentation.
• Partner with stakeholders to translate business needs into technical requirements and mitigate risks.
• Mentor the development team through code reviews and technical guidance.

Required Skills

• 15+ years of experience in data engineering.
• Advanced Python and SQL proficiency.
• Deep expertise with AWS services: Glue, S3, IAM, and MWAA/Airflow.
• Strong experience with Snowflake, including SnowSQL and performance tuning.
• Hands-on experience with dbt and data modeling (Star/Snowflake Schema).
• Proficiency in JIRA and Agile/Scrum methodologies.
• Bachelor's degree in a related field.

Preferred Skills

• Experience with Data Warehousing concepts and architectural improvements.
• Ability to support Data Operations teams in troubleshooting critical production issues.

Key Skills

Education

Bachelor's degree