Microsoft Power Bi And Data Scientist Engineer

Arab Solutions

Posted on 10 Sep

Experience

6 - 11 Years

Job Location

Doha - Qatar

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Key Responsibilities Data Engineering & Integration

  • Design, develop, and deploy ETL pipelines using Azure Data Factory (ADF).

  • Integrate ADF with external sources (SQL, NoSQL, REST APIs, flat files, Azure Blob, Data Lake).

  • Implement data validation, transformation rules, and error handling within pipelines.

  • Automate data movement and orchestration across storage, databases, and analytics platforms.

  • Use Mapping Data Flows for advanced transformations and aggregations.

Data Warehousing & Analytics

  • Build and manage data lakes and warehouses on Azure Synapse Analytics.

  • Design serverless SQL pools, Spark pools, and data integration pipelines in Synapse Studio.

  • Optimize Synapse performance for batch processing and real-time analytics.

  • Develop OLAP and OLTP data models for reporting and exploration.

Microsoft Fabric Workflows

  • Implement Microsoft Fabric for end-to-end data integration across Azure services.

  • Leverage Fabric s Lakehouses, Warehouses, and Data Pipelines for analytics and AI-driven insights.

  • Enable collaborative workflows across data engineering, data science, and BI teams.

  • Build self-service BI solutions within Fabric to empower business users.

Cloud Architecture, Governance & Security

  • Design cloud-native architectures for scalable and cost-effective data systems.

  • Ensure data governance, security, and compliance (GDPR, CCPA).

  • Implement RBAC, encryption, and Azure Purview for data cataloging, lineage, and auditing.

  • Optimize data storage, compute resources, and ensure high availability.

Automation & DevOps

  • Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Azure Pipelines.

  • Automate workflows with Azure Logic Apps and Power Automate.

  • Monitor and troubleshoot pipeline performance to minimize downtime.

  • Continuously improve data engineering processes for automation, scalability, and maintainability.

Collaboration & Reporting

  • Work closely with cross-functional teams including data scientists, analysts, and business stakeholders.

  • Provide Power BI integration for advanced dashboards and reporting.

  • Support AI/ML workflows using Azure Machine Learning when required.

  • Report to the Project Manager and execute assigned data engineering tasks.

Desired Candidate Profile

6+ years of hands-on experience in data engineering and cloud data architecture.

  • Strong expertise in:

    • Azure Data Factory (ADF) ETL and pipelines

    • Azure Synapse Analytics data lakes, warehouses, modeling, analytics

    • Microsoft Fabric data integration, lakehouses, warehouses, and collaborative workflows

  • Proficiency in SQL / T-SQL and Azure SQL Database.

  • Knowledge of Azure Blob, Data Lake, and Azure SQL storage.

  • Experience with Hadoop, Spark, Databricks within Azure ecosystems.

  • Familiarity with DevOps practices, CI/CD pipelines, and automation.

  • Strong background in data governance, quality, and security in cloud environments.

  • Exposure to Power BI, Azure ML, or other BI/AI tools (preferred).

Required Skills & Experience

  • Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, Business, or related field.

Company Industry

  • IT - Software Services

Department / Functional Area

  • IT Software

Keywords

  • Microsoft Power Bi And Data Scientist Engineer

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Arab Solutions

https://app.pyjamahr.com/careers?company=Arab%20Solutions&job_id=273293&company_uuid=B186148E48

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