Description

You will design, build, and maintain data pipelines and infrastructure on AWS. You own the ETL processes using Python, SQL, and Airflow.

This role is on-site.

Responsibilities

• Develop and optimize data pipelines using Python and SQL.
• Manage workflow orchestration and scheduling with Apache Airflow.
• Deploy and manage data services within the AWS cloud environment.
• Maintain and improve the reliability of existing data infrastructure.
• Collaborate with stakeholders to define data requirements.

Required Skills

• 14+ years of professional experience in data engineering.
• Strong proficiency in Python for data processing and scripting.
• Advanced SQL skills for complex queries and data manipulation.
• Hands-on experience with AWS data services and infrastructure.
• Demonstrated expertise in Apache Airflow for workflow orchestration.
• Any graduate degree in a relevant field.

Preferred Skills

• Experience with large-scale distributed data systems.
• Knowledge of data modeling best practices.

Key Skills

Education

Any Graduate