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Data Engineer | Codersbrain

Posted on September 16, 2025

Job Description

Data Engineer

Company Overview

[Company information not provided.]

Job Summary

We are seeking a skilled Data Engineer with strong expertise in Azure Data Factory (ADF), SQL, and Microsoft Fabric. The selected candidate will be responsible for designing, developing, and deploying end-to-end data solutions, building scalable data pipelines, and ensuring seamless integration with reporting and visualization tools such as Power BI.

Responsibilities

  • Create and manage Azure Data Factory (ADF) pipelines and end-to-end data workflows.
  • Design, develop, and deploy data solutions using Microsoft Fabric components (Lakehouse, Data Warehouse, Data Factory, Data Engineering).
  • Utilize Power BI for data visualization and reporting, ensuring integration with Fabric data assets.
  • Contribute to the design and implementation of scalable and secure data architectures.
  • Develop and maintain robust data pipelines ensuring performance and reliability.
  • Collaborate with business teams, analysts, and other stakeholders to deliver effective data solutions.

Qualifications

  • 3–4 years of experience as a Data Developer or Data Engineer.
  • Hands-on expertise in Microsoft Fabric components (Lakehouse, Data Warehouse, Data Factory, Data Engineering).
  • Strong knowledge of Azure Data Factory (ADF) and Azure Data Lake Storage Gen2.
  • Proven experience in designing, developing, and maintaining data pipelines.
  • Solid understanding of data warehousing concepts and lakehouse architectures.
  • Proficiency in SQL for data manipulation and querying.
  • Experience with version control systems (Git, Azure Repos).

Preferred Skills

  • Experience in CI/CD pipelines for data solutions.
  • Knowledge of data governance, performance optimization, and security best practices.
  • Exposure to Agile methodologies.

Experience

  • 3–4 years in relevant roles as a Data Developer or Data Engineer.

Environment

  • This position is remote, allowing for flexibility in your work environment.

Salary

[Salary information not provided.]

Growth Opportunities

[Information on growth opportunities not provided.]

Benefits

[Details on benefits not provided.]

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