AWS Data Engineer

Job Summary

We are looking for an experienced AWS Data Engineer with strong expertise in Python and PySpark to design, build, and maintain large-scale data pipelines and cloud-based data platforms. The ideal candidate will have hands-on experience with AWS services , distributed data processing, and implementing scalable solutions for analytics and machine learning use cases.

Key Responsibilities

• Design, develop, and optimize data pipelines using Python, PySpark, and SQL .
• Build and manage ETL / ELT workflows for structured and unstructured data.
• Leverage AWS services (S3, Glue, EMR, Redshift, Lambda, Athena, Kinesis, Step Functions, RDS) for data engineering solutions.
• Implement data lake / data warehouse architectures and ensure data quality, consistency, and security.
• Work with large-scale distributed systems for real-time and batch data processing.
• Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality, reliable data solutions.
• Develop and enforce data governance, monitoring, and best practices for performance optimization.
• Deploy and manage CI / CD pipelines for data workflows using AWS tools (CodePipeline, CodeBuild) or GitHub Actions.

Required Skills & Qualifications