Job Description
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.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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