Data Engineer

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Data Engineer Jobs

As a Data Engineer, you are instrumental in managing and optimizing data pipelines, ensuring data integrity and availability in an organization. This role involves designing, constructing, and maintaining data architecture, which powers data-driven decision-making. With the explosion of data in today's world, the demand for skilled Data Engineers is soaring. To excel in this role, proficiency in tools like Python, SQL, and cloud computing platforms is essential. Balancing work life in a dynamic data environment can be challenging, but the career prospects and rewarding work make it worthwhile.

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KF Aerospace is seeking a Data Engineer to support the design, development, and modernization of our enterprise data platform. This role will help drive the implementation of scalable data solutions using Microsoft Fabric, Azure, SQL Server, and Power BI technologies.

You will work closely with business stakeholders, analysts, developers, and report authors to build and maintain reliable data pipelines, modern Lakehouse architecture, and enterprise reporting solutions that enable data-driven decision making across the organization.

This is an opportunity to contribute to a growing and evolving data environment while working with modern cloud and analytics technologies.

* Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data solutions. * Develop, optimize, and maintain complex SQL queries and database objects to support analytics and reporting solutions. * Support the implementation and optimization of Microsoft Fabric, including Data Factory, OneLake, Data Warehouse, and Power BI integrations.  * Build and maintain Lakehouse and Medallion-based data architectures.  * Integrate data from multiple enterprise systems, databases, APIs, and cloud platforms.  * Monitor, troubleshoot, and optimize data processes for performance, reliability, and scalability.  * Collaborate with business and technical teams to translate requirements into effective data solutions.  * Support data governance, quality, security, and documentation standards.  * Contribute to enhancement initiatives and adoption of emerging data technologies.