Data Engineer(Python/AWS/SQL)

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Skills you'll use

What you'll do

• As a Python Software Engineer, you will help build our next-generation index data platform and take ownership from problem definition through production support.
• Write production code, primarily in Python, across services, APIs, libraries, and command-line tools that are modular, well tested, and maintainable.
• Design and build software components end to end, from breaking down a problem through deployment and support in production.
• Create data models and integrations across Aurora PostgreSQL and object storage, with careful attention to schema design, evolution, and backwards compatibility.
• Build software that processes data at scale on AWS using services such as Lambda, S3, containerised services, Glue, and EMR Serverless where appropriate.
• Engineer for Quality
• Apply modern engineering practices including version control, trunk-based development, CI/CD, code review, refactoring, and automated unit, integration, and contract testing.
• Build observability in from the start through structured logging, metrics, tracing, and meaningful alerting.
• Debug your own problems, fix them properly, and take responsibility for the quality and reliability of what you deliver.
• Collaborate & Contribute

Who can apply

• Review code, pair when useful, share knowledge, and learn the financial indices domain.

About LSEG

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