Data Engineer

Company Description

Miller® is about building things that matter. We lead the welding industry in building advanced, solution-focused products and meeting crucial needs for welding safety and health.

We’re about the partnership and the work. Our products are designed with our users for manufacturing, fabrication, construction, aviation, motorsports, education, agriculture and marine applications.

Miller Electric Mfg. LLC, is headquartered in Appleton, Wisconsin, and wholly owned by Illinois Tool Works (NYSE: ITW). The company maintains its industry leadership by setting the standard for reliability, quality and responsiveness. Our slogan, "The Power of Blue®," is inspired by the blue color of Miller equipment.

The company started with an innovation that responded to customer needs, growing from a one-man operation in 1929, to the world’s largest manufacturer of arc welding products. Miller keeps the tradition alive by focusing on its top priority: people.

Job Description

BASIC DESCRIPTION:

Are you a talented and experienced Azure Data Engineer looking for an exciting opportunity to work on cutting-edge data projects? We are seeking a highly skilled professional with a minimum of 3-5 years of hands-on experience in Azure Data Engineering, including Azure Data Factory, Azure Synapse, Azure Storage Account, SQL, and Python. As an Azure Data Engineer, you will play a crucial role in designing, implementing, and maintaining data solutions on the Azure platform.

ESSENTIAL FUNCTIONS:

• Design, develop, and maintain data pipelines using Azure Data Factory to efficiently extract, transform, and load (ETL) data from various sources.
• Use Azure Synapse to create and manage data warehousing solutions, optimizing query performance and ensuring data accuracy and consistency.
• Manage Azure Storage Accounts for data storage and retrieval, implementing data security measures and efficient data access patterns.
• Develop and optimize SQL queries for data retrieval and manipulation, ensuring data quality and performance.
• Utilize Python for scripting and automation tasks related to data processing and integration.
• Work with cross-functional teams to gather data requirements, define data architecture, and provide data engineering expertise.
• Ensure data solutions follow industry best practices and security standards.
• Effectively communicate with stakeholders, providing updates on project progress and data-related issues.

Qualifications

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in information systems, Computer Science or related field.
• 3-5 years of Data Engineering, Data Analyst or ETL.
• Strong communication skills and logical thinker.
• Ability to work cooperatively on a team.

Ideal Qualifications:

• Experience with Scrum Agile methodology
• Familiarity with Dynamics 365 (D365)
• Experience with relational databases
• Proficiency in Power BI for data visualization and reporting
• Expertise in database migration, specifically migrating from onsite to cloud using Azure Managed Instance

Additional Information

All your information will be kept confidential according to EEO guidelines.

ITW is an equal opportunity employer. We value our colleagues’ unique perspectives, experiences and ideas and create workplaces where everyone can develop their careers and perform to their full potential. 

As an equal employment opportunity employer, ITW is committed to equal employment opportunity and fair treatment for employees, beginning with the hiring process and continuing through all phases of the employment relationship. 

All suitable applicants will be considered for employment without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, age, disability, protected Veteran status or any other characteristic protected by applicable federal, state, or local laws.