Job Description

We are looking for a Data Engineer with 2–3 years of experience in developing, maintaining, and optimizing data pipelines using Python and AWS services, particularly AWS Glue.

Key Responsibilities:

Design, develop, and maintain scalable data pipelines using Python and AWS services.
Develop and manage ETL/ELT processes using AWS Glue.
Extract, transform, and load data from various sources into data warehouses or data lakes.
Perform data cleansing, transformation, validation, and quality checks to ensure data accuracy and consistency.
Work with AWS services to support data storage, processing, and integration.
Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
Collaborate with data engineers, analysts, and other stakeholders to support data requirements and business needs.
Maintain technical documentation for data workflows, pipelines, and