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3cloud

Azure consulting for cloud modernization

Data Engineer - Managed Services

Data EngineeringPosted on Nov 10
Full-timeRemote in PhilippinesNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Mathematics, or a related field, or equivalent certification.
  • Experience working in a support role and understanding standard support processes such as ITIL.
  • Three to five years supporting solutions on the Microsoft Azure and Fabric tool stacks for Data and AI, including Azure Data Factory, SQL Data Warehouse, Azure Synapse, Azure Databricks, Microsoft Fabric, and Microsoft Power BI.
  • Proficiency in supporting enterprise data warehousing, semantic models, data lake architecture, and metadata-driven extract, transform, and load processes.
  • Experience with DevOps or DataOps, such as delivering work using Git-based source control and automated deployment pipelines.
  • Strong verbal and written communication skills.
  • Client relationship skills and experience managing vendors.
  • Ability to work in a fast-paced, rapidly changing environment.
  • Commitment to personal development and continuously upgrading technical skills.

Responsibilities

  • Support multiple clients’ Azure Data Platform, Databricks, and/or Fabric and Power BI environments by promptly responding to escalations, analyzing incidents, and resolving them.
  • Support, implement, and monitor enhancements to clients’ Microsoft Azure and/or Fabric tool stacks for Data and AI, including Azure Data Factory, SQL Data Warehouse, Azure Synapse, Azure Databricks, Microsoft Fabric Data Engineering, and Microsoft Power BI.
  • Consult, develop, and advise on Power BI, including report development and modeling.
  • Support customer solutions that import data from multiple sources, transform it using metadata-driven extract, transform, and load architectures, store it across medallion data lake architecture stages, and serve performant star-schema data models for enterprise data warehousing, business intelligence, and AI and machine learning applications.
  • Configure, administer, tune, and develop client data environments according to governance and security best practices and well-architected frameworks.
  • Work with clients to identify issues, troubleshoot promptly, and follow up within contracted service-level agreements.
  • Proactively communicate ticket status to associated parties and handle escalations as appropriate.
  • Explain technical issues and solutions to clients in business terms while supporting strategic business outcomes.
  • Work with customers on licensing for Microsoft data solutions and understand the limits and advantages of each licensing platform.
  • Research new and custom solutions where appropriate; learn, apply, and refine data engineering and data analytics skills.
  • Create and maintain up-to-date documentation for each client’s environment.
  • Participate in recurring meetings with client stakeholders to review current issues and propose possible solutions.
  • Collaborate with team members and client stakeholders to ensure solutions align with client needs.

Desired Qualifications

  • Experience implementing and/or supporting agentic AI, machine learning, predictive analytics, and/or large language model use cases on Microsoft’s Data and AI tool stack.

About the Company

3cloud

Azure consulting for cloud modernization

3Cloud Solutions helps businesses optimize their Microsoft Azure usage with expert consulting and hands-on support. It partners closely with Microsoft as a top Azure partner, giving clients current guidance and access to Microsoft-aligned resources. Their services include practical best-practices, implementation support, and ongoing advisory to modernize cloud infrastructure, improve data analytics, and enable app innovation across industries such as manufacturing. In addition to consulting, 3Cloud offers educational resources like eBooks, video tutorials, and webinars, plus case studies that show how their work drives better business performance. The goal is to help clients modernize their cloud setups, increase operational efficiency, and achieve measurable outcomes through Azure-based solutions.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
Not listed
Headquarters
Downers Grove, IL
Founded
2016

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