Data Engineer

Job Description :

The candidate is required to have substantial experience (8-10 years) in data engineering or backend development within cloud-based environments.

The role emphasizes the need for proficiency in Python, API development, and cloud-native solutions, specifically within AWS

Primary Skill :

- Python and APIs : Strong Python skills for developing secure APIs and scalable data pipelines.

- Cloud-Native Development : Experience with cloud-native environments, particularly AWS.

- Database Design and Data Operations : Solid understanding of database design and data operations, ensuring efficient data processing and management.

- Collaborative Development : Proficiency in using GitHub for version control, code review workflows, and collaborative development.

- API and Pipeline Performance Monitoring : Ability to optimize API and pipeline performance using AWS CloudWatch or similar tools.

Secondary Skills:

- Scalable Data Platform Experience : Knowledge of designing and implementing scalable data platforms.

- Data Governance : Understanding of data governance principles to ensure secure and governed data flows.

Soft Skills :

- Teamwork : Ability to work closely with product, DevOps, and architecture teams to ensure seamless integration and collaboration.

- Communication : Strong communication skills to articulate technical concepts and collaborate effectively across teams.

- Problem-Solving : Excellent problem-solving skills to address complex integration and performance challenges.