Azure Data Engineer

Job Summary

Great opportunity to show off your passion for data, reporting, analytics, and data warehousing. Medline's BI team may have the perfect fit for you!

This person will be responsible for project planning, execution, and implementation of changes to reporting solutions for BI – Marketing & Ecommerce portfolio as well as ensuring accurate and timely data solutions delivery to business partners.

To be successful in the role, you need strong analytical skills, excellent communication skills and will be responsible for developing and maintaining enterprise and departmental business intelligence, data warehousing and reporting solutions.

Required Skills:

• 8+ years of experience in Business Intelligence, Data Engineering, or related fields, with strong expertise in modern cloud-based analytics platforms.
• Hands-on experience with Microsoft Fabric, including Lakehouse, Data Warehouses, Pipelines, Dataflows Gen2, and Real-Time Analytics.
• Ability to design and implement scalable data solutions using Fabric One Lake architecture, Delta Lake tables, and Fabric pipelines.
• Expertise in data engineering best practices, including data modeling, data integration, and building high-performing analytical data stores.
• Good working knowledge of SAP systems and underlying data structures, with ability to integrate SAP data into Fabric pipelines.
• Strong proficiency in SQL, including performance tuning, optimization, and development of complex queries for Fabric Lakehouse and Warehouses.
• Excellent oral and written communication skills, with ability to collaborate independently with business partners, onshore and offshore teams.
• Good analytical skills to translate business requirements into scalable Fabric data models and data products.
• Strong task management, prioritization, and problem-solving capabilities, driving work from conception to completion.
• Experience with SDLC, Agile/Scrum, and project management tools such as Jira.
• Certifications in Azure or Fabric technologies are a plus.
• Data modeling (Native HANA) and TDV (Good to Have).
• Experience of ETL tools, preferably Talend.

• Engage with business users to gather requirements and understand functional needs for data products and reporting.
• Develop scalable data ingestion and transformation pipelines using Fabric pipelines, notebooks, and SQL
• Gather, process, and model raw data at scale to support analytical and operational use cases, including scripts, REST calls, and SQL queries.
• Perform cost optimization and governance over Fabric capacities and work spaces to ensure efficient resource usage.
• Partner with software developers and analysts to ensure reliable, performant data delivery across Fabric workloads.
• Build analytics-ready data sets and tools using Fabric Lakehouse/Warehouse to drive insights around customer acquisition, operations, and business KPIs
• Develop optimized SQL for Fabric Warehouse and Lakehouse engines
• Mentor junior engineers and contribute to best practices for Fabric-based data modeling and engineering.
• Own end-to-end project delivery includes communication, development, testing, migration, support, and documentation.
• Perform pipeline and query performance tuning across Fabric workloads
• Analyze trends and patterns in data and transform them into actionable recommendations for the business.
• Participate in defining best practices around Data models development and deliverables.

Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

The anticipated salary range for this position:

$ - $ Annual

The actual salary will vary based on applicant’s location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold.

Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please . For roles where employees work less than 30 hours per week, benefits…