Description

Senior Data Engineer owning end-to-end ETL/ELT pipeline development, orchestration, and technical leadership.

This role is on-site.

Responsibilities

• Design and maintain data pipelines using Python, AWS Glue, Snowflake, and PySpark.
• Orchestrate workflows with AWS Airflow (MWAA) and native AWS services.
• Lead the project lifecycle in JIRA, managing sprint planning and technical documentation.
• Translate business requirements into technical specifications and mitigate project risks.
• Mentor developers through code reviews and guide the team on complex architectural decisions.

Required Skills

• 10+ years of experience in data engineering roles.
• Advanced proficiency in Python and SQL.
• Strong experience with AWS services including Glue, S3, IAM, and MWAA.
• Expertise in Snowflake, including SnowSQL and performance tuning.
• Hands-on experience with PySpark for data processing.
• Proficiency in JIRA and Agile/Scrum methodologies.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with dbt (Data Build Tool) for data transformation.
• Knowledge of Star/Snowflake schema data modeling.

Key Skills

Education

Bachelor's degree