FullSpeed Automotive®, one of the nation’s largest franchisors and operators of automotive aftermarket repair facilities and home to flagship brands Grease Monkey®, SpeeDee Oil Change & Auto Service®, and Kwik Kar®, is ranked one of the top Automotive Aftermarket companies in the industry.

We are seeking a highly skilled and motivated Data Engineer with expertise in the Microsoft Azure Tech Stack to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and pipelines, enabling efficient data processing and analysis.

Data Engineering Responsibilities:

• Collaborate cross-functionally with senior leadership and BI analysts, to understand data requirements and ensure the availability of reliable data.
• Build scalable and high-performance data ingestion, transformation, and storage solutions in Azure Synapse Analytics (formerly SQL Data Warehouse).
• Design, develop, and implement data pipelines and workflows using Microsoft Azure Data Factory (ADF) and related services.
• Optimize data pipelines and workflows for performance, reliability, sustainability, and scalability.
• Develop and maintain data models, schemas, and data dictionaries to support business intelligence and reporting needs.
• Implement data quality and data governance processes to ensure the accuracy, completeness, and integrity of the data.
• Monitor and troubleshoot data pipelines to identify and resolve issues proactively.
• Collaborate with IT Manager to ensure the availability, security, and compliance of data systems.
• Stay up-to-date with emerging technologies and industry trends related to data engineering and Azure cloud services.

Leadership Responsibilities:

• Provide project management and coordination for data engineering initiatives, collaborating with stakeholders to define project objectives, deliverables, and timelines.
• Lead and manage agile sprints to deliver data engineering projects on time and within scope.
• Oversee the work of analysts, providing guidance, support, and quality assurance to ensure accurate and insightful data analysis.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer, specifically working with the Microsoft Azure Tech Stack.
• Strong proficiency in Microsoft Azure Data Factory (ADF) for data integration and orchestration.
• Hands-on experience with Azure Synapse Analytics (formerly SQL Data Warehouse) for scalable data storage and analytics.
• In-depth knowledge of SQL and database technologies, including data modeling, query optimization, and performance tuning.
• Experience with data integration techniques and technologies, including ETL/ELT processes.
• Proficiency in scripting languages such as Python or PowerShell for automation and data manipulation.
• Solid understanding of cloud computing concepts and working knowledge of Azure services like Azure Storage, Azure Databricks, and Azure Data Lake.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication and collaboration skills to work effectively in a cross-functional team environment.

Preferred Qualifications:

• Relevant certifications in Microsoft Azure, such as Azure Data Engineer Associate or Azure Solutions Architect.
• Experience with other Azure services like Azure Event Hubs, Azure Stream Analytics, or Azure Machine Learning.
• Familiarity with data warehousing concepts and methodologies.
• Knowledge of data governance and compliance frameworks, such as GDPR or CCPA.

Join our team and be part of an exciting journey to leverage the power of the Microsoft Azure Tech Stack for unlocking the potential of data-driven decision-making. Apply today and help shape the future of our data infrastructure!