Sr. Data Engineer (Backend / Python / Cloud / DevOps)

Job Summary Required Skills

• Write clean, efficient, reusable, and testable code following best practices.
• Implement and maintain backend APIs using FastAPI or Django.
• Ensure application performance, scalability, and security.
• Debug and resolve issues reported by QA or end users.
• Conduct code reviews and maintain documentation.
• Build ETL/ELT pipelines and data workflows.
• Work with SQL and NoSQL databases.
• Experience working with AWS and GCP cloud platforms.
• Docker container-based development.
• CI/CD pipeline implementation.

Responsibilities

• Expert knowledge of Python backend development.
• Experience with FastAPI or Django / Django REST Framework (4+ years).
• Experience building data pipelines using Python.
• Strong system design and architecture understanding.
• Experience working in Linux environments.
• Experience with monitoring and alerting systems.

Cloud Data Engineering Skills

• AWS: S3, Lambda, Glue, Athena, RDS, ECS, CloudWatch
• GCP: Cloud Storage, Cloud Functions, Dataflow, BigQuery, Pub/Sub, Cloud Run
• Data ingestion pipeline development
• Batch and streaming data workflows
• Data modeling and warehouse concepts

DevOps Skills

• CI/CD (GitHub Actions, Jenkins, AWS CodeBuild, Cloud Build)
• Infrastructure as Code (CloudFormation / Terraform)
• Container deployment workflows
• Monitoring and logging systems

Desirable Skills

• Test driven development
• Frontend experience (HTML, CSS, JS)
• Vue / React familiarity
• Experience with Grafana or CloudWatch dashboards
• Exposure to digital signage / marketing platforms

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.