Description

You will design, develop, and maintain data pipelines and ETL workflows.

This role is hybrid.

Responsibilities

• Design and build data pipelines and ETL workflows using Python and Pandas.
• Implement, schedule, and monitor workflows with Apache Airflow.
• Manage data storage, processing, and orchestration using Azure Cloud Services.
• Optimize existing pipelines for scalability and performance.
• Collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

Required Skills

• 4–7 years of hands-on experience in Data Engineering.
• Strong programming experience in Python.
• Proficiency with Pandas for data manipulation and transformation.
• Expertise in Apache Airflow for workflow orchestration.
• Experience with Azure Cloud Services for data storage and compute.
• Solid understanding of ETL/ELT processes, data modeling, and data lifecycle management.
• Bachelor's degree.

Preferred Skills

• Experience with PySpark for distributed data processing.
• Familiarity with Kubernetes for container orchestration.

Key Skills

Education

Bachelor's degree