Not specified; not specified; benefits include hea...
Python programming with type hints
Apache spark for large-scale processing
Aws data stack (glue, emr, lambda, s3)
You will help power the indices trusted by financial institutions worldwide while working in a modern AWS environment
Job Summary
You will help power the indices trusted by financial institutions worldwide while working in a modern AWS environment.
The role involves designing scalable, testable data pipelines using Python and Apache Spark within a collaborative Agile team.
LSEG offers a culture of growth, diversity, and innovation with tailored benefits including healthcare, retirement planning, and paid volunteering days.
Matching Summary
You will help power the indices trusted by financial institutions worldwide while working in a modern AWS environment.
Salary
Not specified; Not specified; Benefits include healthcare, retirement planning, paid volunteering days, and wellbeing initiatives
Skills & Requirements
Must-have
Python programming with type hints
Apache Spark for large-scale processing
AWS data stack (Glue, EMR, Lambda, S3)
Relational database experience Aurora PostgreSQL
CI/CD and automated testing practices
Nice-to-have
Experience with Apache Iceberg table formats
Familiarity with Great Expectations or Deequ
Curiosity about financial markets and indices
Collaborative Agile team environment
Exposure to Databricks platform
Key Requirements
Strong experience in relational databases
Ability to write clean, maintainable Python code
Understanding of batch processing and schema evolution