01.01.2024 aktualisiert
100 % verfügbar
Cloud DevOps/Software Engineer
Mannheim, Deutschland
Deutschland
B.Sc. InformatikSkills
Amazon Web ServicesData AnalysisUnit TestingMicrosoft AzureBash ShellBig DataC#Content Delivery NetworksCliCloud ComputingETLDebuggingSoftware Design PatternsLinuxDevOps
Devops, Azure, Shell/Bash, powershell, az cli, Terraform, Istio, Linux, Infrastructure as Code, IaC, Bicep, Jenkins, GitLab, Software Engineering, C#, python, Design patterns, Debugging, Unit testing, SQL, Git, Cloud, Azure Cloud, AWS, GCP, DB/ETL, MS SQL, Oracle SQL, Cosmos DB, ETL, Kafka, Databricks, Containers, Docker, Kubernetes, Azure IoT Edge, microservices, Big Data, Analytics, Azure Functions, Blobs, Queues, KeyVault, IoT Hub, Frontdoor, Firewall, ADX, EventHub, IoT, sensor, IoT Edge, MQTT, REST API, MVC pattern, App Services, Scrum, Prometheus, Grafana, caching, CDN, OIDC, Azure CLI, EventGrids, Blob, hybrid, Oracle, Azure SQL
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2022
Sprachen
DeutschverhandlungssicherEnglischverhandlungssicherRussischMutterspracheUkrainischMuttersprache
Projekthistorie
Responsibilities:
Software Engineer
* Implement (10+) event-driven docker microservices in C# and python
* Setup and operate Azure Cloud with 3 Stages for Industrial Big Data Analytics
* Setup build and deploy (CI/CD) pipelines for components (Build pipelines, Release
pipelines)
* Infrastructure as Code (IaC) with Terraform (VMs, Vnets, Container Registry, App
Services, Azure Functions, Blobs, Queues, Cosmos DB, KeyVault, IoT Hub, Frontdoor,
Firewall, ADX, EventHub, EventGrid, Application Insiights, Log Analytics)
* Near real time IoT sensor data ETL (IoT Hub, IoT Edge, containers, MQTT, Blob, Queues,
REST API, Cosmos DB)
* Implement state of the art REST API with MVC pattern in C# (App Services, Azure
Functions)
* Working in Scrum based team with 5 developers and following agile principles
Software Engineer
* Implement (10+) event-driven docker microservices in C# and python
* Setup and operate Azure Cloud with 3 Stages for Industrial Big Data Analytics
* Setup build and deploy (CI/CD) pipelines for components (Build pipelines, Release
pipelines)
* Infrastructure as Code (IaC) with Terraform (VMs, Vnets, Container Registry, App
Services, Azure Functions, Blobs, Queues, Cosmos DB, KeyVault, IoT Hub, Frontdoor,
Firewall, ADX, EventHub, EventGrid, Application Insiights, Log Analytics)
* Near real time IoT sensor data ETL (IoT Hub, IoT Edge, containers, MQTT, Blob, Queues,
REST API, Cosmos DB)
* Implement state of the art REST API with MVC pattern in C# (App Services, Azure
Functions)
* Working in Scrum based team with 5 developers and following agile principles
* Building a Generic ETL tool based on Azure Cloud for different data workloads
* Managing and creating Azure Cloud resources
* Setup CI/CD pipelines with Azure DevOps
* Software engineering in C# and python (Azure Functions, Databricks, App Services)
* Scrum based approach with 2 Teams
* Managing and creating Azure Cloud resources
* Setup CI/CD pipelines with Azure DevOps
* Software engineering in C# and python (Azure Functions, Databricks, App Services)
* Scrum based approach with 2 Teams
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Taking requirements from the client
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Integrating data sources into one system
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Implement code in SQL for ETL according to collected requirements
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Delivering processed data to the client via a QlikView dashboard