Description

You will design, develop, and maintain scalable data pipelines and ETL processes for large-scale datasets.

This role is hybrid.

Responsibilities

• Design and maintain data pipelines and ETL workflows ensuring data integrity and availability.
• Optimize data workflows for performance and scalability within cloud environments.
• Implement data governance and security best practices across the data stack.
• Collaborate with data scientists, analysts, and engineers to deliver robust data solutions.

Required Skills

• 10+ years of professional experience in data engineering.
• Proficiency in Python and SQL for complex data manipulation and pipeline development.
• Hands-on experience with AWS services including S3, Lambda, Glue, and IAM.
• Strong understanding of data modeling, warehousing, and distributed systems.
• Experience building and maintaining CI/CD pipelines.
• Proficient with version control systems, specifically Git.
• Experience with Apache Airflow for workflow orchestration.

Preferred Skills

• Experience with Databricks or similar data platforms.
• Familiarity with Java for backend or data-related development.

Key Skills

Education

Any Gradute