Azure Data Engineer

Strong experience in data engineering, including working with Azure, Strong Python for data processing and automation., Hands-on experience with one of the following: Databricks, Snowflake, or Microsoft Fabric., Strong communication skills and very good English language skills., Strong SQL skills and experience with database optimization., Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools (Terraform, Bicep)., Familiarity with key Azure services: Data Lake, Event Hub, Data Factory, Synapse Analytics, Azure Functions., Exposure to containerization (Docker, Kubernetes) and cloud security best practices., Experience in real-time data processing and streaming technologies like Kafka or Spark Streaming., Hands-on experience with PySpark., Certifications such as DP-900, DP-203, AZ-204, or AZ-400.

access to courses e.g. Excel, VBA, RPA, Customer Care, unlimited access to Udemy Business, free chat/call with a therapist, sharing the costs of sports activities, private medical care, life insurance, no dress code, parking space for employees, extra social benefits, redeployment package, employee referral program, charity initiatives