Our Client Currently looking for Data Engineer(Python/AWS/SQL)

– Writing production code, primarily in Python — services, APIs, libraries, and command-line tools that are modular, well-tested, and built to be maintained by others
– Designing and building software components end to end, from breaking down a problem through to deployment and support in production
– Applying modern software engineering practices every day: version control, trunk-based development, CI/CD, code review, refactoring, and automated testing (unit, integration, contract)
– Taking ownership of features and systems — you debug your own problems, fix them properly, and take responsibility for the quality of what you deliver
– Designing data models and integrations across relational databases (Aurora PostgreSQL) and object storage, thinking carefully about schema design, evolution, and backwards compatibility
– Building software that processes data at scale on AWS — Lambda, S3, containerised services, and where appropriate the AWS data stack (Glue, EMR Serverless)
– Building observability in from the start — structured logging, metrics, tracing, and meaningful alerting, so that we know how our software behaves in production
– Contributing to design and architecture discussions, and to our shared engineering standards
– Working directly with product and business teams to turn requirements into working software
– Learning the financial indices domain and sharing what you learn with the team

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