Description

You will design, build, and maintain ETL/data pipelines using Python within AWS Cloud environments.

This role is on-site.

Responsibilities

• Build and optimize data processing workflows using Pandas and NumPy.
• Write and manage SQL queries for data querying, transformation, and validation.
• Deploy, manage, and optimize data solutions using AWS services including S3, EC2, Lambda, Glue, and Redshift.
• Collaborate with data analysts and engineers to implement scalable data solutions.
• Debug, troubleshoot, and enhance existing data pipelines and codebases.

Required Skills

• 8+ years of experience as a Python Data Engineer or in a similar role.
• Strong proficiency in Python with hands-on ETL pipeline development.
• Experience using Pandas, NumPy, and PySpark for data processing.
• Strong SQL skills and experience with relational databases.
• Hands-on experience with AWS Cloud services (S3, EC2, Lambda, Glue, Redshift).
• Solid understanding of software development best practices and Git.
• Familiarity with data modeling and data warehousing concepts.

Key Skills

Education

Any Gradute