onsite
AWS Data Engineer - JSR Tech Consulting
Data Engineer
Design and maintain scalable data pipelines on AWS, collaborating with data scientists and analysts to deliver reliable, reusable data solutions using Python, SQL, and modern ETL tools.
About the role
Key Responsibilities
- Design, develop, and maintain robust, reusable data pipelines and architectures within the AWS ecosystem.
- Implement data ingestion, transformation, and storage solutions using services such as S3, Lambda, Glue, and Redshift.
- Orchestrate workflows with Apache Airflow or similar schedulers to ensure reliable data movement.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions.
- Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency.
Requirements
- Strong experience building data pipelines on AWS using services like S3, Lambda, Glue, and Redshift.
- Proficiency in Python and SQL for data transformation and scripting.
- Hands‑on experience with ETL/ELT processes and workflow orchestration tools such as Apache Airflow.
- Understanding of data modeling, warehousing concepts, and best practices for scalability and reliability.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced, hybrid team environment.