Description :

We are looking for a highly skilled Senior Data Engineer to design, build, and scale robust data pipelines and backend systems.

The ideal candidate will have strong experience in cloud platforms, data engineering, and modern backend frameworks, with a focus on building scalable, high-performance solutions.

Key Responsibilities :

- Design, develop, and maintain scalable ETL pipelines and data workflows.

- Build and optimize data processing systems using SQL and NoSQL databases.

- Develop backend services and APIs using Python, preferably with FastAPI or Django REST Framework.

- Implement and manage CI/CD pipelines for efficient and automated deployments.

- Work on containerized environments using Docker for development and deployment.

- Collaborate with cross-functional teams to define system architecture and ensure scalability and performance.

- Monitor and troubleshoot data pipelines and backend systems to ensure reliability and efficiency.

- Ensure best practices in coding, testing, and deployment.

Required Skills & Qualifications :

- Strong experience in data engineering.

- Proficiency in Python for backend and data processing.

- Hands-on experience with ETL pipelines and data workflow orchestration.

- Solid understanding of SQL and NoSQL databases.

- Experience with CI/CD tools and pipeline implementation.

- Expertise in Docker-based containerization.

- Good understanding of system architecture and design principles.

Cloud Platform Experience :

AWS Services :

- S3, Lambda, Glue, Athena

- RDS, ECS, CloudWatch

GCP Services :

- Cloud Storage, Dataflow, BigQuery

- Pub/Sub, Cloud Run