Analytics Engineer: AI & Data Pipelines

Oliver Wyman

Ciudad de México

Presencial

MXN 670.000 - 1.004.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Oliver Wyman is seeking an experienced Advanced Analytics Engineer to design scalable data solutions that support analytics, ML, and AI initiatives. The role focuses on building data pipelines for structured and unstructured data using Databricks, Python, and PySpark.

You will collaborate with AI engineers, data scientists, and business stakeholders to enable data-driven innovation, ensure data quality, and support CI/CD/DataOps practices across distributed environments.

Formación

  • 2+ years of experience in Data Engineering or Analytics Engineering.
  • Strong hands-on experience with Python, PySpark, Databricks, and SQL.
  • Experience designing scalable ETL/ELT pipelines and distributed data processing.
  • Experience with structured, semi-structured, and unstructured data.
  • Experience building and integrating APIs and enterprise data services.
  • Experience supporting analytics, AI, or machine learning initiatives.
  • Understanding of modern lakehouse and cloud-based data architectures.
  • Experience with workflow orchestration, automation, and CI/CD pipelines.

Responsabilidades

  • Design, develop, and optimize scalable data pipelines using PySpark and Databricks.
  • Build workflows to ingest, process, and transform data.
  • Develop data models and reusable datasets for analytics and AI use cases.
  • Integrate external systems and enterprise platforms via APIs.
  • Collaborate with AI engineers and platform teams on MCP integrations.
  • Support data scientists and stakeholders on analytics initiatives.
  • Implement data quality, governance, monitoring, and observability best practices.
  • Contribute to CI/CD pipelines and DataOps best practices.
  • Document technical solutions and workflows.

Conocimientos

Python
PySpark
SQL
ETL/ELT pipelines
APIs
Cloud platforms
Data modeling
CI/CD pipelines

Herramientas

Databricks
CI/CD tooling
APIs integration

Descripción del empleo

Oliver Wyman is seeking an experienced Advanced Analytics Engineer to design scalable data solutions that support analytics, ML, and AI initiatives. The role focuses on building data pipelines for structured and unstructured data using Databricks, Python, and PySpark.

You will collaborate with AI engineers, data scientists, and business stakeholders to enable data-driven innovation, ensure data quality, and support CI/CD/DataOps practices across distributed environments.

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