Azure Data Engineer

Randstad India

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profile Job Location:

Chennai - India

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Experience:
  • 6 years of professional software development experience.
  • 3 years of hands-on experience with Microsoft Azure services including:
  • Data & Storage: Azure SQL Cosmos DB Azure Storage
  • Compute & App Hosting: Azure App Services Azure Functions Azure Kubernetes Service (AKS)
  • Security & Monitoring: Azure Key Vault Azure Monitor Application Insights

Technical Skills:
  • Strong backend development expertise in Python or Go.
  • Proficiency in Python (with AI/ML focus) C# and JavaScript.
  • Solid understanding of RESTful API development authentication mechanisms and microservices architecture.
  • Experience with cloud platforms (Azure preferred; AWS or GCP a plus).
  • Hands-on knowledge of CI/CD pipelines and Infrastructure as Code (IaC) using ARM templates Bicep or Terraform.
  • Skilled in working with SQL and NoSQL databases.
  • Familiarity with containerization and orchestration tools (Docker Kubernetes).

Additional Competencies:
  • Strong problem-solving abilities and capability to work independently in remote or hybrid environments.
  • Comfortable in fast-paced collaborative settings.

Preferred Qualifications:

  • Microsoft Certified: Azure Solutions Architect Expert or Azure Developer Associate.
  • Experience with OpenAI Hugging Face LangChain for conversational AI and RAG systems.
  • Understanding of multi-agent architectures and ensemble strategies.
  • Exposure to Agile/Scrum methodologies and tools like Jira or Azure Boards.
  • Contributions to open-source projects or technical blogs.
Experience: 6 years of professional software development experience. 3 years of hands-on experience with Microsoft Azure services including: Data & Storage: Azure SQL Cosmos DB Azure Storage Compute & App Hosting: Azure App Services Azure Functions Azure Kubernetes Service (AKS) Security &...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala