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Azure Databricks
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.