DevOps and Data Engineer
- חולון
- משרה קבועה
- משרה מלאה
- Design and implement data pipelines to ingest, transform, and deliver client data from multiple sources.
- Work with structured and unstructured data, applying data transformation and integration best practices.
- Build scalable data storage solutions, including data lakes, warehouses, and Lakehouse architectures, tailored to customer needs.
- Optimize data processing performance to meet SLA and cost targets in customer environments.
- Ensure data quality, reliability, and governance through automation and validation frameworks.
- Design and maintain CI/CD pipelines for deploying customer-specific applications and data solutions.
- Automate provisioning and configuration of cloud infrastructure using tools like Terraform.
- Work directly with client teams to support deployment, scaling, and ongoing operations of delivered solutions.
- 3+ years of professional experience in DevOps and/or Data Engineering roles, preferably in client-facing settings.
- Hands-on experience with data pipelines, ETL processes, and data lake/warehouse/Lakehouse solutions.
- Experience deploying solutions on Microsoft Azure or equivalent cloud platforms.
- Solid understanding of CI/CD, DevOps automation, and infrastructure management.
- Proficiency in SQL, Python, Bash, or PowerShell.
- Familiarity with Azure Data Factory, SSIS, Microsoft Fabric, or comparable platforms.
- Comfortable working directly with customers, including requirement gathering, solution design, and technical presentations.
- Languages & Scripting: Python, SQL, Bash, PowerShell
- Data Tools: Apache Spark, ETL frameworks, Azure Data Factory, SSIS
- Cloud & DevOps: Azure, Docker, Kubernetes, GitHub Actions, Azure DevOps
- IaC: Terraform, Ansible
- Data Architecture: Data Lakes, warehouses, Lakehouse, Delta Lake
- 2+ ש"נ ביישום מערכת crm- חובה
- ידע בעבו...
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