Build and maintain cloud-based data pipelines and ETL solutions on AWS using Python, PySpark, and AWS Glue/Lambda.
" Jr Dev - AWS Data Engineer We are seeking a **Jr Dev - AWS Data Engineer** with **0-4 years of software development experience** to support the design, development, and maintenance of cloud-based data pipelines and ETL solutions on AWS. This role is ideal for candidates who are building foundational skills in Python, SQL, PySpark, and AWS data services. Key Responsibilities - Assist in building and maintaining ETL pipelines using Python and PySpark. - Support development of workflows using AWS Glue, Lambda, and Step Functions. - Work with cloud data storage platforms such as S3, Redshift, RDS and Oracle. - Write SQL queries for data extraction, transformation, validation, and reporting. - Help implement basic monitoring, logging, and error handling for pipelines. - Support ingestion and processing of data from APIs and JSON payloads. - Collaborate with engineers, analysts, and stakeholders to understand requirements. - Contribute to code management, documentation, and deployment support activities. Required Skills and Qualifications - 0-4 years of software development experience across the appropriate platform. - Good knowledge on Python and SQL. - Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions. - Good understanding of ETL concepts and data processing fundamentals. - Familiarity with GitLab/Terraform and SDLC from development to production. - Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization. - Good analytical, problem-solving, and communication skills. Preferred Skills - Exposure to PySpark, Athena, CloudWatch, SNS and SQS - Internship, project, or academic experience in cloud, analytics, or data engineering. - Good understanding of using AI tools like Github Copilot or similar for code productivity"