Job Title: AWS Data Engineer
Job Location: London, UK/ Hybrid
Job Type: 12 Months FTC
Job Description:
Need Expert in Python Pyspark, AWS, Cloud, AWS Services, AWS Components
Designing and developing scalable, testable data pipelines using Python and Apache Spark
Orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3
Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing
Contributing to the development of a lakehouse architecture using Apache Iceberg
Collaborating with business teams to translate requirements into data-driven solutions
Building observability into data flows and implementing basic quality checks
Participating in code reviews, pair programming, and architecture discussions
Continuously learning about the financial indices domain and sharing insights with the team
WHAT YOU'LL BRING:
- Writes clean, maintainable Python code (ideally with type hints, linters, and tests like pytest)
- Understands data engineering basics: batch processing, schema evolution, and building ETL pipelines
- Has experience with or is eager to learn Apache Spark for large-scale data processing
- Is familiar with the AWS data stack (e.g. S3, Glue, Lambda, EMR)
- Enjoys learning the business context and working closely with stakeholders Works well in Agile teams and values collaboration over solo heroics
Nice-to-haves:
- Its great (but not required) if you also bring:
- Experience with Apache Iceberg or similar table formats
- Familiarity with CI/CD tools like GitLab CI, Jenkins, or GitHub Actions
- Exposure to data quality frameworks like Great Expectations or Deequ
- Curiosity about financial markets, index data, or investment analyticsjOBJ
Regards,
Rachana
[email protected]
