remote
Analytics Engineer Remote
Data Engineer
Analytics Engineer role focused on building scalable data pipelines using AWS, Apache Airflow, and Docker. Requires expertise in CI/CD, containerization, and Python to deliver robust, automated analytics solutions remotely.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines on AWS using Apache Airflow.
- Implement CI/CD workflows to automate deployment of data services.
- Containerize analytics workloads with Docker and orchestrate them in cloud environments.
- Collaborate with data scientists and engineers to optimize data flow and quality.
- Monitor pipeline performance, troubleshoot issues, and implement improvements.
Requirements
- Proven experience with AWS services (S3, Redshift, EMR, Lambda).
- Strong knowledge of Apache Airflow DAG creation and scheduling.
- Hands‑on expertise in CI/CD pipelines (GitHub Actions, Jenkins, or similar).
- Solid understanding of Docker and container orchestration.
- Proficiency in Python for data manipulation and automation.
Skills
awscicddockerpython