Description
Job Summary:
We are seeking a professional to design and evolve data platforms using Lakehouse architecture, develop scalable pipelines, and define standards for architecture, governance, and performance.
Key Highlights:
1. Design and evolve data platforms using Lakehouse architecture.
2. Develop scalable pipelines and define architectural standards.
3. Implement solutions on Databricks and Delta Lake.
**Start Date:** As soon as approved.
**Duration:** 6 months, renewable.
**Responsibilities:** We seek a professional to design and evolve data platforms using Lakehouse architecture, develop scalable pipelines, and define standards for architecture, governance, and performance using Databricks, Delta Lake, and PySpark.
**Main Responsibilities:**
Develop ETL/ELT pipelines.
Implement solutions on Databricks and Delta Lake.
Define architectural and governance standards.
Integrate and optimize data.
Support technical teams and document solutions.
**Requirements:**
Databricks, PySpark, and SQL;
Delta Lake and Lakehouse architecture;
ETL/ELT and data modeling;
Cloud platforms (Azure, AWS, or GCP);
**Desirable:**
Airflow, Fabric, Synapse, or Data Factory;
DataOps/CI/CD and Databricks/Cloud certifications;