Data Engineer - Fabric || Celebal Technologies

Job Summary:

We're looking for a talented Azure Data Engineer to solve complex data challenges for our clients using Microsoft Fabric. You will collaborate with project teams to deliver innovative data solutions that drive business value.

Responsibilities:

• Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric (Data Factory, Data Warehouse, Lakehouse, Real-Time Analytics).
• Implement and maintain scalable Azure data solutions leveraging Fabric, Synapse (if applicable), and Data Lake Storage.
• Develop and maintain robust data models for BI, analytics, and reporting.
• Ensure data quality, integrity, security, and governance.
• Automate data workflows, implement CI/CD, and improve pipeline efficiency.
• Collaborate with cross-functional teams (analysts, scientists) to deliver data solutions.
• Monitor and troubleshoot pipelines, addressing performance and quality issues.
• Stay up-to-date with Azure and Fabric technologies.

Skills & Qualifications:

• 2-6 years data engineering experience with Azure focus.
• Hands-on experience with Microsoft Fabric (Data Factory, Data Warehouse, Lakehouse, Real-Time Analytics), Azure Data Factory, Synapse, and Data Lake Storage.
• Expert SQL skills and experience building complex ETL/ELT pipelines.
• Solid understanding of data modeling, governance, and performance optimization.
• Programming/Scripting skills with Python and Powershell.
• Power BI experience a plus.
• CI/CD tools experience preferred.
• Strong problem-solving and communication skills.
• Bachelor's degree or equivalent experience. • Azure Certification(s) is a plus.

Soft Skills

• Communication: Strong verbal and written communication skills to articulate technical concepts clearly and interact with cross-functional teams and stakeholders.

• Collaboration: Ability to work effectively in a team-oriented, fast-paced environment while maintaining strong working relationships.

• Problem-Solving: Strong analytical and troubleshooting skills to resolve issues and optimize data workflows.

• Adaptability: Flexibility to learn new technologies and stay updated with evolving trends in the data engineering field.

• Attention to Detail: A keen eye for ensuring data integrity, security, and accuracy in all processes.

• Time Management: Ability to prioritize tasks and manage time effectively to meet deadlines in a dynamic environment.

Education

• Bachelors degree in computer science, Information Technology, Data Engineering, or a related field.

• Certifications in Azure (such as Microsoft Certified: Azure Data Engineer Associate) or other relevant cloud/data platforms are a plus.