Description

You will support the design, development, and maintenance of scalable data pipelines on AWS.

This role is on-site.

Responsibilities

• Build and maintain ETL pipelines using AWS Glue, S3, Redshift, and Lambda.
• Support data ingestion, transformation, and validation from structured and semi-structured sources.
• Write and optimize SQL queries for data transformation and analysis.
• Develop Python and PySpark scripts for data processing and automation.
• Participate in data quality checks, monitoring, and basic troubleshooting.

Required Skills

• Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
• 0–2 years of experience in data engineering or cloud-based projects.
• Working knowledge of at least two of: AWS S3, AWS Glue, Redshift, Lambda.
• Proficiency in SQL and basic-to-intermediate Python.
• Familiarity with ETL concepts, data warehousing, and relational databases.
• Understanding of basic cloud concepts and distributed systems.
• Experience with Git or similar version control systems.

Preferred Skills

• Experience with MySQL or similar relational databases.

Key Skills

Education

Bachelor's degree