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Senior Data Engineer with Architectural Solutioning experience (Azure Cloud Architect)

  • Work with global engineering team
  • Stable and experienced company
  • Amazing teams

About Our Client

An global engineering and technology solutions provider offers expertise in Embedded Systems, Enterprise Applications, Testing, Data Services, Cloud, and IoT. Established in 1991, the company serves a diverse clientele, including Fortune 1000 companies, startups, universities, and government entities.

Job Description

    • Participate in enterprise data management tasks, including gathering business and technical requirements, collecting and ingesting data, designing data architecture, building data pipelines and models, and deploying and monitoring pipeline performance.
    • Identify, design, and execute process enhancements internally: This involves automating manual tasks, optimizing data delivery, and reconfiguring infrastructure to enhance scalability.
    • Collaborate with data from various systems of record to ensure that the data is suitable for reporting, in accordance with industry best practices.
    • Engage with multiple stakeholders to comprehend business needs and provide technical best practices.
    • Thrive in an Agile environment as part of a scrum team, delivering high-quality products incrementally through an interactive approach.

    The Successful Applicant

    - Educational Background:

    1. Possess a Bachelor's degree in Information Technology or Computer Science from an accredited university.
    2. Hold relevant certifications in data engineering and data science, including but not limited to Microsoft Azure Fundamentals, Microsoft Azure Data Engineer, and Microsoft Azure Data Scientist.

    - Work Experience:

    • Demonstrate a minimum of 5 years of relevant work experience. 
    • An ETL developer with proficiency in the following technical aspects:

      1. Hands-on experience in Azure cloud services such as Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Analytics Services (AAS), Azure Blob Storage, Azure Synapse, Azure ML, SSIS, SSMS, and Azure Databricks.
      2. Competence in SQL development, scripting, and programming.
      3. Practical experience with ETL tools, including Alteryx, Talend, and Pentaho, among others.
      4. Familiarity with visualization tools like PowerBI and Tableau.
      5. Proficiency in data science and statistical tools like Python and R.
      6. Knowledge of Enterprise Data Management (EDM) tools, including Azure Purview, EA Sparx, Informatica, and/or IBM Sphere.

      - Additional Skills (Preferred):

      1. Familiarity with DAX for PowerBI.
      2. Proficiency in PowerShell for extending and automating Azure Data Factory.
      3. Hands-on experience with Enterprise Data Warehousing (EDW), Data Lake, or Data Platform is an advantage.
      4. Experience with public and private Cloud platforms such as AWS, GCP, and Cloudera is a plus.

      What's on Offer

      • A competitive perks
      • High growth

      Contact: Alifa
      Phone Number: +6282246585032


      Job summary

      Function
      Engineering & Manufacturing
      Industry
      Software Development Service
      Contract Type
      Contract
      Work Activity
      Onsite
      Department
      Engineering
      Location
      Kuala Lumpur Malaysia,
      Recruiter Name
      Alifa
      Recruiter Contact
      +6282246585032

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