Azure Databricks Engineer (Data & AI)

Market insights

Stack

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

Обязанности: Build and optimize data pipelines and Lakehouse solutions in Azure Databricks., Develop data models, integrations and analytics capabilities., Create AI-powered applications and Generative AI solutions., Automate cloud environments using Terraform and CI/CD pipelines., Apply security, governance and data quality best practices., Optimize solutions for performance, scalability and cost efficiency., Collaborate with business and technical stakeholders to deliver reliable, production-ready solutions. Опыт: 3-6 years of experience in cloud, data engineering or platform engineering., Hands-on experience with Azure, Azure Databricks and cloud-native services., Strong knowledge of Python, PySpark and SQL., Experience with ETL/ELT, Spark, Delta Lake and Lakehouse architectures., Understanding of Infrastructure as Code, CI/CD and cloud security principles., Interest in AI and Generative AI technologies., Fluent English., Experience with Terraform, MLflow or Databricks Genie., Knowledge of Azure Kubernetes Service (AKS)., Exposure to MLOps practices., Azure, Databricks or HashiCorp certifications.

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.