
Azure & Fabric Data Engineer
2 weeks ago
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).
Mid-Senior level
Employment typeContract
Job functionInformation Technology
IndustriesIT Services and IT Consulting, Business Consulting and Services, and Education Administration Programs
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