Develop, maintain, and enhance systems and infrastructure for the Data
Platform.
Collaborate with multiple teams to solve complex technical problems,
particularly around Python, AWS, and CI/CD pipelines.
Build web-based applications, support microservices, and deploy them in cloud
environments with a focus on data platform infrastructure.
Contribute to engineering initiatives and guide technical adoption across teams
using the Data Platform.
Implement modern software engineering practices including test automation,
architectural principles, and best practices for data platform development.
Ensure solutions are scalable, resilient, and secure.
Work closely with technical leadership to drive the technical evolution of the
Data Platform.
Enable other teams to adopt new platform capabilities through collaboration
and knowledge sharing.
Ideal Candidate Profile:
Strong experience in Python and AWS, including CI/CD, Infrastructure as a Code
(IaC).
Solid experience in web-based application development, microservices
architecture, and cloud deployment.
Excellent communication and collaboration skills, with the ability to work across
teams.
Deep understanding of modern software engineering principles and practices
applied to data platforms.
Experience with developing scalable, resilient, and secure systems.
Recognizes the importance of people in software development and works
effectively with cross-functional teams.
Web & Frontend: TypeScript, React
APIs: We implement GraphQL and RESTful APIs using NodeJS, NestJS
Backend: Python
* Data Stores: Redshift, DynamoDB, Postgres, Elasticsearch, S3
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