Data Engineer 2 - Full Stack

jll.co.in

Jalisco, Mexico
Data pipeline development
Data integration
Application development
Contribute to designing, building, and scaling a core data platform that powers data-driven insights across JLL

Job Summary

  • Contribute to designing, building, and scaling a core data platform that powers data-driven insights across JLL.
  • Develop features and full-stack applications that bridge structured and unstructured data for downstream consumption.
  • Deploy and monitor data products on cloud platforms with observability, telemetry, data lineage, and auditability.

Matching Summary

Contribute to designing, building, and scaling a core data platform that powers data-driven insights across JLL.

Skills & Requirements

Must-have

  • data pipeline development
  • data integration
  • application development
  • API development
  • Python, Java, or Scala
  • Azure or AWS
  • SQL and NoSQL databases

Nice-to-have

  • systematic thinking for scalable solutions
  • iterative, fast-paced environment
  • ownership and pride in data infrastructure
  • modern frontend frameworks
  • streaming tools like Kafka
  • DevOps principles and CI/CD
  • LLM-driven workflows

Key Requirements

  • 2-4 years of data engineering experience
  • 1-2 years of cloud platform experience (Azure/AWS)
  • Backend development experience (Java/Spring Boot)
  • Experience with SQL and NoSQL databases
  • Basic understanding of ML concepts

Work Rights

Not specified

Tailored Resume

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