Data Integration Specialist

Glazer's Beer and Beverage, LLC • Addison, TX

1d • Onsite

About The Position

The Data Integration Specialist designs, builds, maintains, and supports enterprise data pipelines and integrations that enable reliable reporting, analytics, automation, and decision-making across the business. As part of the Enterprise Solutions team, this role helps modernize how enterprise data is integrated, managed, and delivered across business systems, reporting platforms, and centralized data stores. This role leverages Azure Cloud data services, Azure SQL, and other tools to deliver supportable, scalable, and secure data integrations.

Requirements

• 3–5+ years of hands-on experience in data integration, data engineering, ETL/ELT development, or a related technical role.
• Strong SQL skills, including advanced querying, data transformation, troubleshooting, and working with relational data structures.
• Hands-on experience with Azure Cloud data services, including Azure Data Factory, Azure SQL Database or SQL Server, Azure Blob Storage, and related data movement or storage services.
• Experience building, supporting, optimizing, and troubleshooting production data pipelines, scheduled jobs, and integration workflows.
• Experience integrating data from a variety of source systems using APIs, FTP/SFTP, structured files, JSON, XML, CSV, or similar formats.
• Ability to diagnose data quality issues, reconcile source-to-target results, and resolve pipeline or integration failures through structured troubleshooting.
• Strong ownership mindset, learning orientation, documentation discipline, and willingness to work across technical and business teams.
• Able to perform all work related assigned job duties.

Nice To Haves

• Familiarity with common database development tools, Git-based source control, Azure DevOps, CI/CD practices, and AI-assisted development workflows.
• Exposure to Microsoft Fabric concepts or tools, such as pipelines, lakehouses, warehouses, dataflows, or notebooks.
• SSIS experience, especially in environments modernizing legacy integrations to Azure-based solutions.
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field preferred; equivalent hands-on experience is also valued.
• Relevant certifications, such as Microsoft Azure Data Engineer or Microsoft Fabric credentials, are helpful but not required.

Responsibilities

• Design, build, and maintain data pipelines: Develop scalable ETL/ELT processes using Azure Data Factory, Azure SQL, Azure Blob Storage, SQL Server, and related Azure Cloud data services to move, transform, and prepare business data for downstream use.
• Support production data integrations: Monitor pipeline health, investigate failures, troubleshoot data movement issues, resolve incidents, and coordinate remediation to ensure reliable and timely data processing.
• Integrate enterprise source systems: Build and maintain integrations across a broad range of internal and external source systems using APIs, FTP/SFTP, structured files, and secure, supportable integration patterns.
• Maintain data platform objects: Create, update, and support database, warehouse, lakehouse, staging, and integration objects needed for reliable data movement, transformation, and consumption.
• Ensure data quality and performance: Implement validation, reconciliation, error-handling, tuning, and optimization practices to improve accuracy, reliability, scalability, maintainability, and cost effectiveness.
• Participate in solution design and discovery: Partner with Enterprise Solutions teammates, business analysts, platform owners, and stakeholders to understand requirements, evaluate source and target systems, and design practical data integration solutions.
• Document integration solutions: Maintain clear technical documentation, including data flows, mappings, dependencies, schedules, troubleshooting steps, operational runbooks, and support procedures.
• Support modernization efforts: Help migrate legacy or on-premises integration processes toward cloud-native, maintainable, and well-documented solutions using Azure and emerging Microsoft data platform capabilities.
• Apply modern development practices: Evaluate emerging technologies, automation opportunities, source control practices, Azure DevOps workflows, approved AI-assisted development tools, and best practices across Azure, Microsoft Fabric, and enterprise data integration.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree