Data Engineer Microsoft Fabric Azure Databricks - RibbitZ

About This Role

Job Description Our client RibbitZ is looking for Data Engineer (Microsoft Fabric | Azure | Databricks) in Dubai. Role Summary We are seeking a Data Engineer with hands-on experience in Azure-based data platforms and Microsoft Fabric to build scalable data pipelines and analytics solutions.

The ideal candidate will have strong skills in PySpark, SQL, and modern data engineering frameworks , with exposure to lakehouse architecture, real-time data processing, and cloud-native tools .

Key Responsibilities 2. Microsoft Fabric & Lakehouse Implementation 3. Azure Data Platform Development 4. Big Data Processing 5. Data Modeling & Analytics 6. Real-Time Data Processing (Preferred) 7. Analytics & Visualization Support 8. Modern Data Tools & Frameworks 9. DevOps & Best Practices Core Skills

• Data Pipeline Development
• Develop and maintain ETL/ELT pipelines using Azure-native tools and frameworks.
• Process structured and semi-structured data (JSON, XML, CSV, APIs).
• Implement incremental data loading and transformation logic.
• Ensure data quality, validation, and consistency across pipelines.
• Work with Microsoft Fabric components including:

• Eventstream
• Eventhouse
• Fabric Pipelines

• Implement Lakehouse architecture using Medallion model (Bronze, Silver, Gold).
• Utilize Delta Lake for efficient storage and processing.
• Build data solutions using:

• Azure Data Factory (ADF)
• Azure Databricks
• ADLS Gen2

• Ingest data from multiple sources:

• ERP / SAP systems
• APIs and external data sources

• Support cloud-based data integration and transformation.
• Develop data transformation workflows using:

• PySpark / Apache Spark

• Optimize pipelines using:

• Partitioning, caching, and efficient joins

• Work on both batch and streaming data processing.
• Build analytics-ready datasets for reporting and BI.
• Apply dimensional modeling concepts.
• Deliver curated datasets for downstream consumption.
• Implement real-time data pipelines using:

• Microsoft Fabric Eventstream
• IoT / streaming data sources

• Enable real-time dashboards and monitoring use cases.
• Integrate data pipelines with Power BI dashboards.
• Support business teams with clean and reliable datasets.
• Work with:

• dbt for transformation and modeling
• Snowflake for analytics workloads

• Develop modular, reusable, and scalable data workflows.
• Use GitHub / Git for version control.
• Follow CI/CD and deployment best practices.
• Document data pipelines and processes.

Required Skills & Technologies

• Python / PySpark
• SQL (Strong proficiency)
• ETL/ELT pipeline development

Cloud & Tools

• Microsoft Azure:

• Azure Data Factory (ADF)
• Azure Databricks
• ADLS Gen2

• Microsoft Fabric (preferred)

Data Engineering Concepts

• Lakehouse architecture
• Delta Lake
• Data modeling (basic dimensional modeling)
• Incremental data processing

Additional Tools

• dbt (preferred)
• Snowflake (good to have)
• Power BI

Experience Requirements

• 3–5 years of experience in Data Engineering
• Hands-on experience in:

• Azure data ecosystem
• Databricks / PySpark
• Building data pipelines and transformations

Educational Qualifications

• Bachelors degree in Computer Science / Engineering / IT
• Relevant certifications are a plus:

• Microsoft Fabric (DP-600 / DP-700)
• Azure Data Engineer (DP-203)
• Databricks certifications

Soft Skills

• Strong analytical and problem-solving skills
• Ability to work in a collaborative Agile environment
• Good communication skills
• Attention to detail and data accuracy

Nice to Have

• Exposure to real-time/streaming data pipelines
• Experience with API integrations
• Basic understanding of machine learning workflows
• Experience working with ERP/SAP data

Job Details

Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://www.taraki.co Job Function: Information Technology (IT) Company Industry/

Sector: Human Resources

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