Data Engineer

Role Overview

We are seeking a skilled and motivated Data Engineer with 5–8 years of experience in building scalable data pipelines using Python, PySpark, and AWS services. The ideal candidate will have hands-on expertise in big data processing, orchestration using AWS Step Functions, and serverless computing with AWS Lambda. Familiarity with DynamoDB and deployment of ETL programs in AWS is essential.

Key Responsibilities

• Design, develop, and maintain robust data pipelines using Python and PySpark
• Handle large-scale data processing and transformation using AWS services
• Implement orchestration workflows using AWS Step Functions
• Develop and manage serverless components using AWS Lambda
• Deploy and monitor ETL programs in AWS environments
• Configure and optimize DynamoDB for data storage and retrieval
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions
• Ensure data quality, integrity, and security across all stages of the pipeline

Required Skills & Qualifications

What We Offer