AWS Glue, Python

About the job: Join a collaborative team where you’ll help transform raw data into trusted, analytics-ready assets that power smarter decisions. In this role, you will design and optimize cloud-based data integration workflows using AWS Glue and Python, partnering closely with engineers, analysts, and stakeholders to deliver reliable pipelines at scale. You’ll work in an environment that values clean engineering, continuous improvement, and shared ownership—where your ideas on performance, automation, and data quality are welcomed. If you enjoy solving real-world data challenges, building robust ETL processes, and learning modern AWS data services while contributing to impactful outcomes, this opportunity offers the right mix of hands-on development and problem-solving responsibility. Technical Requirements: • Primary skills :AWS Glue-Technology->Cloud Platform->Amazon Webservices DevOps,Technology->Cloud Platform->AWS Data Analytics->AWS Glue DataBrew,Technology->OpenSystem->Python - OpenSystem Responsibilities: Key Responsibilities: • Design, build, and maintain ETL/ELT pipelines using AWS Glue and Python for batch and incremental data processing. • Develop and optimize Glue Jobs (PySpark/Python) including job parameters, bookmarks, retries, and performance tuning. • Implement data ingestion, transformation, and validation logic to ensure accuracy, completeness, and consistency of datasets. • Integrate pipelines with AWS services (e.g., S3, IAM, CloudWatch) to enable secure, observable, and scalable workflows. • Troubleshoot job failures, analyze logs/metrics, and implement fixes to improve stability and runtime efficiency. • Collaborate with cross-functional teams to gather requirements, define data mappings, and deliver well-documented solutions. • Follow engineering best practices including code reviews, version control, and reusable modular coding patterns. Minimum Qualifications: • Bachelor’s degree or equivalent (e.g., BE/BTech/MSc/MCA/MTech). • 3–5 years of experience in data engineering, ETL development, or data integration roles. • Strong hands-on experience with AWS Glue and Python for building production-grade data pipelines. • Working knowledge of core AWS concepts including security basics (IAM), storage patterns, and monitoring. • Ability to debug data pipeline issues and deliver reliable solutions with clear documentation. Preferred Skills: Technology->Cloud Platform->Amazon Webservices DevOps,Technology->Cloud Platform->AWS Data Analytics->AWS Glue DataBrew,Technology->OpenSystem->Python - OpenSystem