Data Engineer (Hybrid)

Job Description

Company Overview:

Brady Corporation is an international manufacturer and marketer of complete solutions that identify and protect people, products and places. Brady's products help customers increase safety, security, productivity and performance and include high-performance labels, signs, safety devices, printing systems and software. Founded in 1914, the Company has a diverse customer base in electronics, telecommunications, manufacturing, electrical, construction, medical, aerospace and a variety of other industries. Brady is headquartered in Milwaukee, Wisconsin and as of July 31, 2021, employed approximately 5,700 people in its worldwide businesses. Brady's fiscal 2021 sales were approximately $1.14 billion. Brady stock trades on the New York Stock Exchange under the symbol BRC. More information is available on the Internet at www.bradyid.com.

Brady offers a hybrid work option that allows for both personal flexibility and in person collaboration to deliver the greatest outcomes for our people and customers. This option is a mix of in the office and one or two offsite days which are pre-determined based on role and function.

Position Reports To: Director of Business Intelligence

Position Summary: Brady IDS BI is interested in hiring a data engineer to work closely with business leaders, the data scientist team, and corporate IT to create data pipelines to support data-driven business decision-making processes.

The successful candidate will have strong verbal and written communication skills and effectively communicate with the client and internal team. A strong understanding of databases, SQL, cloud technologies, and modern data integration and orchestration tools.

Essential Duties and Responsibilities:

• Lead design sessions to develop ETL logic that meets business and data scientists' requirements.
• Create and build robust data structures to support end user's analysis and decision-making across multiple business verticals. This includes both end-to-end architecting and business solutions.
• Provide mentoring on database systems to other development and business teams.
• Monitor data warehouse eco-system and identify opportunities to make enhancements.
• Provide support in fixing database and data quality issues via reverse engineering.
• Contribute to and care about data quality efforts, ensuring data accuracy and transparency for our stakeholders.
• Participate in brainstorming sessions and contribute ideas to our technology, algorithms, and products.
• Adhere to timelines and excel in a fast-paced, high-energy environment.
• Drive data best practices and contribute to the development of overall data strategy and roadmap.

Required Knowledge, Skills Abilities

• Bachelor's degree in CIS, MIS, IT, or related Database Theory degree; or equivalent experience
• 4+ years of experience in the development and maintenance of complex data systems
• Working knowledge of emerging database technologies such as Elastic Search, Big Query, Mongo or equivalent.
• Excellent database tuning techniques and practices, including partitioning, performance tuning, and working with application development teams for enhanced performance
• At least 1 year of Spark experience.
• Advanced experience leveraging various strategies for ingesting, modeling, processing, and persisting data as well as excellent analytical and problem-solving skills.
• Troubleshoot live site issues, engage appropriate parties, and drive through to resolution

Desired Knowledge, Skills Abilities

• Master's degree, MBA or Ph.D. degree is a plus.
• Cloud Experience preferred (e.g. AWS, Azure, Google Cloud Platform, etc.). Demonstrated Azure experience with Data Factory, Analysis Services, SQL Managed Instance, Synapse, and DevOps.

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