Azure Data Engineer
CapgeminiWrocław, Województwo dolnośląskie, PolskaPonad 30 dni temu
Opis pracyStrong 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. Mid-Senior level Full-time Information Technology IT Services and IT Consulting
3 days ago Be among the first 25 applicants
YOUR TASKS
- Design and implement Azure-based data solutions for large-scale and unstructured datasets.
- Develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake.
- Collaborate with solution architects to define and implement best practices in data engineering.
- Ensure data quality, scalability, and security across all Azure-based solutions.
YOUR PROFILE
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