Data Engineer

Fusion Global Solutions - Irving, TX

Full-time

Irving, TX

Professional, Scientific, and Technical Services

About the position

We are seeking a Data Engineer with a strong foundation in cloud data tools, particularly Azure Data Factory or similar platforms. The ideal candidate will have experience with Azure SQL, including the ability to create views and manage data effectively. This role requires a commitment to being on-site in our Irving, TX office for 2-3 days a week, allowing for collaboration with team members and engagement in our data-driven projects. The Data Engineer will play a crucial role in designing, implementing, and maintaining data pipelines that support our analytics and reporting needs. Additionally, familiarity with PowerBI or similar visualization tools will be beneficial, as the role may involve creating dashboards and reports to present data insights to stakeholders. Candidates should have a minimum of 10 years of experience in data engineering or related fields, demonstrating a deep understanding of data architecture, ETL processes, and cloud technologies. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to our data strategy.

Responsibilities

• Design and implement data pipelines using Azure Data Factory or similar cloud data tools.
• Manage and optimize Azure SQL databases, including creating views and stored procedures.
• Collaborate with data analysts and business stakeholders to understand data requirements and deliver actionable insights.
• Develop and maintain documentation for data processes and architecture.
• Monitor and troubleshoot data pipeline performance and reliability.
• Utilize PowerBI or similar tools to create visualizations and reports for data analysis.

Requirements

• Minimum of 10 years of experience in data engineering or related fields.
• Proficient in Azure Data Factory or similar cloud data tools.
• Experience with Azure SQL, including creating views and managing databases.
• Familiarity with PowerBI or similar data visualization tools is a plus.
• Strong analytical and problem-solving skills.

Nice-to-haves

• Experience with other cloud platforms such as AWS or Google Cloud.
• Knowledge of data warehousing concepts and best practices.
• Familiarity with machine learning concepts and tools.