Description

You will build, maintain, and optimize ETL data pipelines using AWS services.

This role is on-site.

Responsibilities

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

Required Skills

• Bachelor’s degree in Computer Science, IT, Engineering, or related field.
• 0–3 years of experience in data engineering or cloud-based projects.
• Working knowledge of AWS data services (S3, AWS Glue, Redshift, Lambda).
• Strong proficiency in SQL.
• Basic to intermediate proficiency in Python.
• Understanding of ETL concepts, data warehousing, and relational databases.
• Familiarity with cloud computing fundamentals and distributed systems.
• Experience with Git or version control systems.

Key Skills

Education

Bachelor's degree