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Accountabilities:

  • Design and implement enterprise-grade lakehouse architectures using Databricks across complex transformation initiatives.
  • Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
  • Provide hands-on technical leadership throughout architecture, implementation, deployment, and optimization phases.

Requirements:

  • 3–8 years of relevant professional experience in data engineering, cloud architecture, or analytics consulting.
  • Strong hands-on expertise with Databricks, Azure, and GCP, with demonstrated ability to design and implement enterprise data platforms.
  • Databricks Champion status or equivalent demonstrated Databricks expertise is mandatory.

Benefits:

  • Fully remote position with work from anywhere in Mexico.
  • High-impact consulting environment with exposure to complex enterprise-scale challenges.
  • Modern technology stack including Databricks, Azure, GCP, Spark, and Terraform.

Partner Company

Our partner is a consulting organization that specializes in enterprise-scale data, cloud, and AI transformation. They offer a fast-paced, high-impact environment with exposure to modern technology and enterprise clients.

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