Data Engineer (Databricks + Fabric)
Nir Yu Mexico, Chihuahua, Mexico
IT Services and IT Consulting · 201-500 employees
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About the role
Design and build ETL/ELT pipelines using Databricks and Microsoft Fabric while managing production data platforms. Govern data quality and lineage using Unity Catalog and automate deployments through CI/CD and infrastructure as code.
What they look for
Requirements
Requires hands-on production experience with Databricks, PySpark, and Microsoft Fabric, along with advanced SQL and Python skills. Candidates must hold or commit to earning DP-900 or DP-700 certifications and possess fluent English and Spanish proficiency.
Full description
Responsibilities:
- Build and run production data platforms for our clients. This is hands-on work, not an architect who only reviews.
- Design and build ETL/ELT pipelines in Databricks and Fabric.
- Set up lakehouses with Medallion architecture (Bronze, Silver, Gold) on Delta Lake.
- Govern data with Unity Catalog: permissions, lineage and quality.
- Automate deployments with CI/CD and infrastructure as code.
- Gather requirements with the client and with other teams.
- Spot improvements in the client's platforms that could turn into new projects.
Requirements:
- Hands-on Databricks in production. PySpark, Delta Lake, Workflows and Unity Catalog (catalogs, permissions and lineage), with Medallion architecture.
- Microsoft Fabric in production, across the full platform. Lakehouse, OneLake, Data Pipelines, Notebooks, Dataflows Gen2 and Warehouse. A proof of concept does not count.
- Advanced SQL and Python.
- A current DP-900 or DP-700 certification, with a commitment to earn the other one within the first 60 days. Verify it with the Microsoft Learn link.
- English B2 or higher and fluent Spanish.
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