Data Engineer

Under the direction of the Data & BI lead, the Data Engineer will play a key role in designing, developing, and maintaining our data architecture and business intelligence capabilities.  The Data Engineer will ensure the efficient flow, management, and consumption of data across our business systems. This role will collaborate with cross-functional teams to understand data requirements, implement robust data pipelines, and contribute to the overall data strategy of the organization.
** ESSENTIAL AND PRIMARY RESPONSIBILITIES
** Facilitate the preparation and documentation of requirements including functional and technical design specifications.

Coordinate and work with other technical staff to develop and implement database architectures, coding standards, and quality assurance policies and procedures.
** REQUIRED COMPETENCIES & SKILLS**. Braun Intertec employee owners are required to carry out Braun Intertec Values every day and as such must possess the following competencies:
Shows initiative and commitment to ongoing learning, growth, and development; willingness to openly seek, receive, and give respectful feedback; commitment to continuous improvement of self, responsibilities, and processes.
** Position Requirements
** In addition, this position requires the following skills:  Strong written and oral communication skills.

Experience working in a team-oriented, collaborative environment. Attention to detail with excellent organizational and planning skills.

Balance of business acumen and business process knowledge with technical skills and capabilities.

Exceptional analytical, conceptual, and problem-solving abilities. Ability to work in a dynamic work environment with competing priorities.

Strong communication and interpersonal skills including the ability to collaborate, influence and partner up and across the organization.
** Minimum Experience, Education, and Technical

Skills:

**** Formal

Education:

** Associate or bachelor’s degree in computer science, software engineering or 5+ years equivalent related IT experience.
** Knowledge &

Experience:

** 5+ years working technical experience with designing, building, installing, configuring, and supporting Lakehouse, data warehouses.
3+ years’ experience with databases and cloud platforms.
3+ years’ experience with SQL, Spark SQL and pipelines.

Experience with cloud data platforms Microsoft Fabric, Azure Synapse, Azure Data Factory, and Power BI.3+ years’ experience with data architecting, data mining, large-scale data modeling, data warehousing, data lake housing, and semantic models is a must.

Experience working on business reporting requirements gathering/analysis.

Familiarity with D365 Financial and Operations, Project Operations and Customer Experience data models is preferred

Experience with data processing flowcharting techniques. Good knowledge of applicable data privacy practices and laws.
** Work/Environment and

Physical Requirements (with or without accommodation)
** Office type environment, using computer, telephone, other office equipment as needed to perform duties. This position requires the ability to sit for long periods of time, and to work in a fast-paced environment.
** Travel Requirements
** If you don’t see the position you are seeking, please join our !

We are always excited to learn about future employee owners! And you will be the first to know about new opportunities, as well as stay connected to our community of talented professionals.
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