Lead Aws Software Data Engineer

Land Securities Group

Bengaluru, India
Scalable data pipelines using python
Apache spark for large-scale data processing
Aws data stack (s3, glue, lambda, emr)
Join a team passionate about data, software craftsmanship, and substantial impact to power the indices trusted by financial institutions worldwide

Job Summary

  • Join a team passionate about data, software craftsmanship, and substantial impact to power the indices trusted by financial institutions worldwide.
  • Design and develop scalable, testable data pipelines using Python and Apache Spark in a modern AWS environment, orchestrating workflows with AWS tools.
  • We care about code quality, ownership, and helping each other grow, fostering an inclusive culture where everyone can fulfil their potential.

Matching Summary

Join a team passionate about data, software craftsmanship, and substantial impact to power the indices trusted by financial institutions worldwide.

Skills & Requirements

Must-have

  • Scalable data pipelines using Python
  • Apache Spark for large-scale data processing
  • AWS data stack (S3, Glue, Lambda, EMR)
  • Relational databases (Aurora PostgreSQL)
  • Modern software engineering practices
  • CI/CD, version control, automated testing

Nice-to-have

  • Experience with Apache Iceberg
  • Curiosity about financial markets
  • Collaboration over solo heroics
  • Data quality frameworks
  • Financial indices domain knowledge

Key Requirements

  • Minimum 3 years of experience in data engineering
  • Experience with Python and SQL
  • Familiarity with cloud platforms (AWS preferred)
  • Experience with ETL/ELT processes
  • Agile development methodologies

Work Rights

Not specified

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