Job Description
Job Type
Full-time
Description Middleby Corporation is a leading global manufacturer of commercial, residential kitchen, and food processing equipment. We are committed to innovation, efficiency, and delivering high-quality products to our customers worldwide. Our Digital Technology team is at the forefront of leveraging data and technology to drive business growth and operational excellence.
We are seeking a talented
Azure focused Data Engineer to join our dynamic team at Middleby. In this role, you will be instrumental in building and optimizing our data infrastructure, focusing on large-scale data projects that integrate data from various sources across our diverse business. You will contribute to data-driven decision-making, including but not limited to advanced AI applications that leverage OpenAI's Retrieval-Augmented Generation (RAG) models. This position offers the opportunity to collaborate closely with cross-functional teams, including business stakeholders, data analysts, and DevOps software engineers.
Responsibilities: - Design & Implement Data Solutions: Develop and maintain scalable architectures using Azure Data Factory, Azure Synapse, Azure Databricks, Data Lake, and Azure SQL.
- Build & Manage Pipelines: Create robust ETL/ELT processes for data ingestion, transformation, and integration from multiple sources.
- Optimize Storage & Performance: Configure data storage (e.g., Azure Data Lake, Blob Storage), implement indexing and partitioning, and monitor system performance for cost-effective, high-speed data processing.
- Data Quality & Governance: Enforce data standards, ensure data accuracy, and maintain compliance with regulations (GDPR, HIPAA, etc.).
- Security & Compliance: Implement Azure Role-Based Access Control (RBAC), encryption, and other best practices to protect sensitive information.
- Continuous Integration & Deployment: Use Azure DevOps for version control, automated testing, and deployment of data pipelines and infrastructure.
- Troubleshooting & Maintenance: Monitor pipelines, resolve incidents, and perform root-cause analysis to ensure reliable data operations.
- Collaboration & Documentation: Work closely with cross-functional teams (Data Scientists, Analysts, DevOps) to gather requirements, share best practices, and document solutions.
- Innovation & Best Practices: Keep up to date with new Azure services, features, and industry trends to continuously improve data engineering processes.
Qualifications: - Bachelor’s degree in computer science, Information Technology, Engineering, or related field Master’s degree (optional but preferred).
- 3-5 years of experience in data engineering or similar roles.
- Strong problem-solving, analytical, and communication skills.
- Ability to work in agile environments with cross-functional teams.
Required Skills: - Azure Services Expertise: Proven experience with Azure Data Factory, Azure Synapse, Azure Databricks, Azure Data Lake, and Azure SQL.
- ETL/ELT & Data Integration: Strong background in building and managing data pipelines using modern tools and methodologies.
- Programming & Scripting: Proficiency in SQL, Python, and/or Spark for data transformation and automation.
- Data Modeling & Architecture: Ability to design robust data structures and develop scalable architectures for large volumes of data.
- Performance Tuning: Skilled in optimizing data storage, querying, and processing, including partitioning and indexing strategies.
- Security & Compliance: Familiarity with Azure RBAC, encryption, and relevant data privacy regulations (e.g., GDPR, HIPAA).
- CI/CD & DevOps: Experience with Azure DevOps, GitHub Actions, and Infrastructure as Code (e.g., ARM templates, Terraform).
- Data Governance: Knowledge of data quality, lineage, and governance best practices.
- Collaboration & Communication: Ability to work closely with cross-functional teams and stakeholders to understand requirements and deliver solutions.
- Continuous Learning: Enthusiasm for staying up to date with evolving Azure services, tools, and industry best practices.
Preferred Skills: - Real-Time Data Streaming: Experience with Event Hubs, IoT Hub, or Kafka.
- Big Data Frameworks: Familiarity with Hadoop/Spark ecosystems.
- Machine Learning & AI: Exposure to Azure ML and/or Azure Open AI.
- Data Visualization: Proficiency in Power BI, Tableau, or similar tools.
- Domain/Industry Expertise: Manufacturing and Service industries.
Middleby Corporation is an Equal Employment Opportunity (EOE/M/F/Vets/Disabled) employer and welcomes all qualified applicants.
Job Tags
Full time, Worldwide,