Remote Senior Cloud & Data Engineer (Azure & PySpark)

Aon plc

México

Remote

MXN 1,200,000 - 1,800,000

Full time

15 hours ago
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Job summary

Aon plc in Mexico City is seeking a Senior Software Engineer for Cloud, Backend & Data Engineering to design, build, test, and deploy scalable cloud-native backend and data solutions on Microsoft Azure. You will work in a fast-paced environment, collaborating with cross-functional teams to deliver reliable services.

The role emphasizes Python, PySpark, Spark, Kafka, and Delta Lake, with responsibilities spanning data pipelines, API design, CI/CD and observability.

Qualifications

  • Proven experience in software, cloud, backend, or data engineering.
  • Hands-on Azure expertise for scalable cloud solutions.
  • Advanced Python skills with PySpark and API development.
  • Experience with Spark, Kafka, and data pipelines.
  • Knowledge of REST, SQL, and cloud data platforms.
  • Familiarity with CI/CD, testing, and Git workflows.
  • Strong English communication skills.

Responsibilities

  • Build, test, and deploy scalable backend solutions on Microsoft Azure.
  • Develop and optimize data ingestion pipelines using PySpark and Spark.
  • Design event-driven architectures and REST APIs.
  • Maintain Delta Lake solutions and Databricks integrations.
  • Collaborate with data engineers, analysts, and scientists.
  • Implement CI/CD pipelines and ensure code quality.
  • Monitor performance, observability, and reliability of services.
  • Troubleshoot production incidents and perform root-cause analysis.

Skills

Azure cloud
Python (PySpark)
Apache Spark
Kafka
Data pipelines
CI/CD
Git
API development
SQL databases
Databricks
Delta Lake
REST services
Observability
SOLID design
English proficiency

Tools

Databricks
Delta Lake
Git
Azure services

Job description

Aon plc in Mexico City is seeking a Senior Software Engineer for Cloud, Backend & Data Engineering to design, build, test, and deploy scalable cloud-native backend and data solutions on Microsoft Azure. You will work in a fast-paced environment, collaborating with cross-functional teams to deliver reliable services.

The role emphasizes Python, PySpark, Spark, Kafka, and Delta Lake, with responsibilities spanning data pipelines, API design, CI/CD and observability.

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