Azure Data Platform Engineer

Expected

• Azure DevOps

• Azure SQL

• Oracle

• Kubernetes

• Cognos

• Tableau

• SQL

• Docker

Optional

• Python

• Skills in Terraform

• Experience in Azure Infrastructure

• Experience in Azure DevOps

• At least once of the following skill sets:

• Datalake (Databricks, ADLS2)

• Datawarehouse, DBs and Reporting

• at least one of the following is a must-have: Teradata, Synapse, Oracle

• nice to have: Cognos, Tableau

• Transactional

• Strong understanding of Kubernetes architecture and best practices for running stateful workloads like databases

• Proficiency in SQL and experience with Postgres and Azure SQL specifically

• Familiarity with Azure services and integration with Kubernetes, including Azure Container Registry, Azure Kubernetes Service (AKS) and Azure DevOps

• Experience with containerization and container orchestration using Docker and Kubernetes

• Ability to optimize database performance and troubleshoot issues related to scalability and reliability in a distributed environment like Kubernetes

• AI/ML

• Azure ML (CLI, SDK), Azure MLOps, Python

• Ideally having AI-900 (AI fundamentals), Dp-100 (Data Science Associate), and AI-102 (AI Engineer Associate) certifications

• Fluency in English & excellent communication skills

Optional

• ETL experience specifically with Data factory

• Knowledge in the following Azure Infrastructure Areas: storage, Key Vault, AMl workspaces, networking, monitoring

• Azure Knowledge with experience in Analytics and Data Processing

• Microsoft Data Catalogue with Microsoft Purview

• FinOps tools / Git / Unix / PowerShell

• Container experience (Docker, Kubernetes, AKS)

• DevSecOps

• Software Architecture experience

• Project management skills

• Prior consultancy experience

• Communication skills in German