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.]