Job Closed
Azure Data Engineer
- Source: LinkedIn
- i2d consulting
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
Role: Senior Azure Data Engineer
Required Technical Skill Set: Databricks and Azure services
Desired Experience: 8 Years
Location: India
Contract and Onsite role
Desired Competencies (Technical/Behavioral Competency)
- Python
- SQL and NoSQL databases
- Databricks/ PySpark (Structured streaming & batch)
- Experience with Azure: ADLS, Databricks, EventHub, Event Grid, SQL DW, Azure Functions, Serverless Architecture,
- Experience with Azure DevOps pipelines (CI/CD)
- Terraform (must: theory, nice: practical experience)
- Good knowledge of Git (branches, pull requests, fixing merge conflicts)
Good-to-Have
- Experience with ARM Templates, Azure Data Factory
- Knowledge on Kubernetes and Google Cloud Platform.
- Machine learning and AI.
Responsibility of / Expectations from the Role
Ability to design solutions independently based on high-level architecture.
- Implementation including loading from disparate data sets, preprocessing using Azure data bricks
- Work with customers in gathering business requirements for data pipeline/lake/migration needs
- Monitoring Azure DevOps, data bricks pipelines and participate support activities
- Willing to learn Azure monitoring services and logging services
azure #devops #databricks #arm #git #googlecloudplatform #kubernetes
Interested consultants may please share your cv to [email protected]
Skills
- microsoft-azure
- azure-databricks
- databricks
- Python
- pyspark
- event-hub
- azure-functions
- microsoft-azure-functions
- serverless
- azure-devops
- Terraform
- azure-data-factory
- Kubernetes
- google-cloud-platform
- azure-monitor
This job is no longer accepting applications.
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