Data Engineer

# 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.]