Senior Azure Data Engineer

Job Summary Job Description We are looking for someone with a robust background in data engineering and ETL (Extract, Transform, Load).

If the following job requirements and experience match your skills, please ensure you apply promptly.

The candidate should have hands-on experience with Spark, Python, and SQL.

Proficiency in building data pipelines using Azure is highly desirable.

Additionally, knowledge and experience with Power BI and Fabric including holding Azure certifications, are considered a plus.

Core Job Responsibilities Responsible for working with product team to design and implement data solutions.

This includes responsibility for the method and processes used to translate business needs into functional and technical specifications.

Design, develop, and maintain robust data sets used for reporting and AI model serving.

Responsible for building new Data Products in Azure, as well as optimizing data flow and integrations with external customers.

Write efficient and scalable Spark code, creating high quality datasets that will be used for customer interaction and reporting.

Participate in code reviews and contribute to best practices for data engineering.

Troubleshoot and resolve data-related issues and provide support for escalated technical problems.

Collaborate with cross-functional teams to understand data requirements and deliver solutions.

Work with product owners and business users to understand and translate user stories and / or requirements into data sets, analytics reports and machine learning pipelines.

Basic Qualifications Education : Bachelor’s degree in computer science, Information Technology, or a related field.

Relevant Work Experience 5+ years of experience in data engineering.

Strong experience in Spark and ETL processes.

Advanced SQL and Python knowledge and experience working with relational databases for data querying and retrieval.

Knowledge and experience of building data lake and enterprise analytics solutions with Microsoft Azure, including Azure Data Factory, Azure SQL Database, and other Azure services.

Additional skills that are a plus but not required Experience with SAP HANA data Experience with Talend Knowledge and experience with other cloud platforms like AWS and Google.

Azure certifications (e.g., Microsoft Certified : Azure Data Engineer Associate) are highly desirable.

Experience with Power BI / Tableau for reporting and data visualization.

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 : $110,240.00

• $165,360.00 AnnualThe 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 click here .

For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.

We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.

We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.

Explore our Belonging page here .

Medline Industries, LP is an equal opportunity employer.

Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.