Sr. Azure Data Engineer

Medline•Northbrook, IL

About The Position

The candidate should have a robust background in data modeling and ETL processes. The candidate should have essential hands-on experience with Advanced SQL and python to deliver scalable analytics solutions on Microsoft Fabric. Proficiency in building Data Lake and supporting enterprise initiatives with regulatory requirements is highly desirable. Additionally, knowledge and experience in SAP and holding Azure certifications, are considered a plus.

Requirements

Bachelor’s degree in computer science, Information Technology, or a related field.
5+ years of experience in software engineering, with a focus on data engineering.
Strong experience in data modeling and ETL processes.
Microsoft Fabric Design and Development experience.
Proven experience in technical leadership and guidance.
Ability to design effective solutions and prioritize projects.
Flexibility to handle ad hoc support requests.
Advanced Hands-on 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.
Experience with building Audit Ready governed data solution, enabling control monitoring and Reporting
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.

Nice To Haves

Knowledge and experience in SAP
Holding Azure certifications
Additional Data Modeling tools (e.g. Erwin, Visio) knowledge
Knowledge and experience with other cloud platforms like AWS and Google.
Microsoft Fabric certifications (e.g., DP-600 – Fabric Analytics Engineer ) are highly desirable.
Experience with Power BI / Tableau for reporting and data visualization.

Responsibilities

Participate in business discussions and project kickoffs to gather and document requirements, ensuring alignment with business objectives.
Provide updates on projects and identify gaps, facilitating effective communication between technical and business teams.
Offer input and propose solution designs that meet business needs and technical requirements.
Provide immediate support for ad hoc requests, demonstrating flexibility and responsiveness
Demonstrate proven data modeling experience
Responsible for building and maintaining solutions using Microsoft Fabric components (Data Factory, Lakehouse, notebooks, Pipelines and Power Bi)
Write efficient and scalable SQL queries to extract and manipulate data.
Develop and maintain Python scripts for data processing and automation.
Possess experience with finance, sales, and inventory data.
Dive into the technical details of implementations and provide feedback to the team to ensure high-quality outcomes.
Review changes and ensure adherence to best practices, fostering a culture of excellence in coding standards.
Contribute to project prioritizations based on interactions with business stakeholders, ensuring that the most critical projects are addressed first.