VISEO ASIA

Cloud Data Engineer (Azure)

Taguig, NCR, PH

13 days ago
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Summary

We are seeking a skilled Cloud Data Engineer (Azure) to join our growing data team. As a Cloud Data Engineer, you will design, develop, and maintain scalable data solutions on Microsoft Azure. Your expertise in Azure data services, data pipelines, and data architecture will be essential in enabling our organization to make data-driven decisions.​

R

esponsibilities​D

  • esign and implement end-to-end data pipelines on Azure using services like Azure Data Factory, Azure Synapse, Databricks, Azure Data Lake, and Azure SQL.​B
  • uild scalable, reliable, and secure data ingestion, transformation, and storage solutions.​D
  • evelop and maintain data models, data warehouses, and data lakes to support analytics and reporting.​C
  • ollaborate with data analysts, data scientists, and business stakeholders to understand data needs and translate them into technical solutions.​E
  • nsure data quality, data governance, and compliance with data security policies.​M
  • onitor and troubleshoot data pipeline performance and issues.​A
  • utomate workflows and integrate with CI/CD pipelines using tools like Azure DevOps.​O
  • ptimize data storage and processing costs on Azure.​P

r

ofile​Mi

  • nimum Bachelors Degree in Computer Science, Engineering or other relevant fields​Mi
  • nimum 6- 7 years of experience in Azure Solutions support​Ex
  • perience with Azure, PowerShell, Bicep, Azure DevOps​Go
  • od Communication both written and spoken in English​Az

u

re Infrastructure Deployment and Management​Fam

  • iliarity with Infrastructure as Code (IaC) tools in Azure​Exp
  • erienced with PowerShell and Bicep scripting for automating infrastructure deployment and management.​Pla
  • t

form Lifecycle Management with DevOps​Stro

  • ng knowledge of DevOps practices and tools, including Azure DevOps and Git (must have)​Plat
  • form lifecycle management with DevOps​Expe
  • rienced implement and manage of CI/CD pipelines using Azure DevOps and Git to ensure smooth deployment and integration processes​Othe

r

Technologies/Process​Speci

  • fic Technologies: ADLS Gen2, Parquet & Delta tables, Azure Data Factory, Synapse Serverless SQL…​Strong technical expertise in: (Azure) Databricks, unity catalog, Databricks pipelines, Databricks SQL Warehouse, DLT, Notebooks (python) , Databricks Serverless implementation.​Strong understanding of “big data” / “Lakehouse” architecture​

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