Description :

Key Responsibilities :

- Lead the design and development of scalable data pipelines and platforms

- Define and implement robust data models for analytics and business use cases

- Build, integrate, and expose APIs for data integration and consumption

- Use cloud services effectively while collaborating with teams that manage infrastructure and deployments.

- Design containerized data applications leveraging Kubernetes-based environments.

- Ensure data quality, performance, security, and reliability

- Provide technical leadership, code reviews, and mentoring to the team

- Collaborate with product, backend, and platform teams on data requirements

Required Skills :

- Proven experience in team leadership and technical ownership

- Strong hands-on experience in Python

- Excellent command over SQL and database design

- Deep understanding of Data Engineering principles

- Experience in API integration and API development

- Hands-on experience with Cloud platforms (AWS / Azure)

- Practical experience with Kubernetes and containerized systems

- Experience with large-scale and real-time data systems

- Strong ability to Leverage AI-assisted tools to improve engineering efficiency, decision-making, and code quality.