Looking for a hands-on Python + AWS Data/Backend Engineer with 5+ years of experience in backend development, data engineering, and cloud-native solutions.
Key Requirements
- Strong experience in Python development using frameworks such as FastAPI, Flask, Django, Celery, and SQLAlchemy.
- Proven expertise in building and supporting APIs, ETL/ELT pipelines, data workflows, and backend services.
- Deep knowledge of AWS services, particularly S3, Lambda, Glue, ECS/EKS, Fargate, SQS, SNS, EventBridge, EC2, and Airflow.
- Strong database experience with both relational and NoSQL databases, including PostgreSQL, MySQL, Redshift, and MongoDB, along with excellent SQL skills.
- Hands-on experience with DBT, Airflow, Glue, Docker, ECS, and PostgreSQL for data warehouse and data integration workloads.
- Experience in containerization and cloud-native architectures using Docker and Kubernetes.
- Strong understanding of CI/CD practices using Jenkins, GitHub Actions, and version control systems such as GitHub, Bitbucket, and Git.
- Ability to integrate systems by consuming and exposing APIs, enabling seamless data movement across platforms.
- Experience automating and optimizing ETL processes and operational workflows.
Key Behavioral Expectations
- Ability to independently troubleshoot, optimize, and resolve complex ETL and production issues, with a proactive ownership mindset.
- Comfortable designing and implementing scalable backend and data solutions in AWS environments.
- Strong collaboration and communication skills, with the ability to work effectively with both engineering teams and business stakeholders.
