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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.
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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