Azure & Fabric Data Engineer

2 weeks ago


Lahore, Punjab, Pakistan The Services Tree Full time

Years of Experience: 5-8 years

Job Overview:

We are seeking a skilled Azure & Fabric Data Engineer to design, develop, and maintain data pipelines using Azure and Fabric data services. The ideal candidate will have experience with CI/CD deployment automation, data science service configuration, and seamless integration of data services. This role requires strong problem-solving skills, collaboration with cross-functional teams, and adherence to best practices in data engineering.

Key Responsibilities:

  • Design, develop, and maintain data pipelines using Azure and Fabric data services.
  • Set up, design, and build CI/CD pipelines using Azure DevOps or GitHub.
  • Configure and optimize data science services in Fabric for optimal performance.
  • Collaborate with data scientists and other stakeholders to ensure smooth data integration.
  • Perform unit testing, troubleshooting, and issue resolution related to data pipelines.
  • Present completed work to clients and internal teams through demos.
  • Follow team best practices and coding patterns.
  • Coordinate and collaborate effectively with the onshore team.

Key Qualifications:

  • Strong knowledge of Azure and Fabric data services.
  • Experience with CI/CD deployment automation using Azure DevOps or GitHub.
  • Familiarity with Azure Data Factory and other data integration tools.

Core Competencies:

  • Strong communication and collaboration skills.
  • Detail-oriented with a strong work ethic.
  • Critical and creative thinking abilities.
  • Self-motivated and capable of working independently.
  • Goal-oriented team player committed to quality.
  • Strong organization and time management skills.
  • Ability to meet deadlines and deliver on assignments effectively.

Experience & Skills Required:

  • At least 3-5 years of experience in designing, developing, and deploying Microsoft data solutions.
  • Hands-on experience with CI/CD automation using Azure DevOps and Git.
  • Proficiency in PySpark and data science methodologies.
  • Experience with T/SQL programming, including designing and creating SQL Server stored procedures and views.
  • Strong verbal and written English communication skills.
  • Knowledge of unit testing methods and techniques.
  • Understanding of Data Vault data modeling methodology (preferred).
Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting, Business Consulting and Services, and Education Administration Programs

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