Overview:
The Enterprise Data Platform Engineer will be responsible for delivering high-quality data architecture for operational data stores, advanced analytics (AI/ML), Power BI reporting, API layers, and more. The engineer will collaborate with customers to understand requirements, translate them into designs and architectures, and help define delivery plans.
Responsibilities:
- Design and Architecture: Develop and maintain the architecture of data platforms, ensuring scalability, reliability, and performance.
- Implementation: Implement data solutions using Microsoft technologies such as Azure Data Lake, Azure API, Azure Synapse Analytics, Azure Databricks, Azure Data Factory, and Power BI.
- Integration: Integrate various data sources and ensure seamless data flow across systems.
- Optimization: Optimize data storage and processing to improve query performance and reduce costs.
- Security: Ensure data security and compliance with industry standards and regulations.
- Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver actionable insights.
- Documentation: Maintain comprehensive documentation of data architecture, processes, and best practices.
- Monitoring and Maintenance: Monitor data systems for performance and reliability and perform regular maintenance and updates.
- Innovation: Stay updated with the latest trends and advancements in data technology and proactively propose innovative solutions.
Qualifications:
- Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
- 10+ years of Proven experience in data engineering, with a focus on the Microsoft modern stack
- 15+ years relevant experience without degree
- Programming Languages: Strong skills in SQL, Python, and other relevant programming languages.
- Analytical Skills: Excellent problem-solving and analytical skills.
- Communication: Strong verbal and written communication skills.
- Teamwork: Ability to work collaboratively in a team environment.
- Project Management: Experience in managing data projects and delivering results within timelines
- Innovation: Demonstrated ability to innovate and implement cutting-edge data solutions
PREFERRED QUALIFICATIONS
- Experience with other cloud platforms and data technologies.
- Certifications in Microsoft Azure or related technologies.
TECHNICAL SKILLS
- Azure SQL Data Warehouse
- Azure Synapse Analytics
- Azure Data Factory
- Azure Data Lake
- Azure Analysis Services
- Databricks/Spark
- Python or Scala (Python preferred)
- Data Modeling
- Power BI (desired)
- Database migration from legacy systems to new solutions
- Design of conceptual, logical, and physical data models using tools like ER Studio or Erwin
SOFT SKILLS
- Excellent problem-solving and analytical skills.
- Strong attention to detail and a commitment to data accuracy.
- Effective communication and interpersonal skills.
- Ability to work independently and as part of a team.
Benefits:
- Health, Dental, and Vision Insurance
- 401k with Company Matching Contribution
- Discretionary 401k Company Contribution
- Tuition Reimbursement Program
- Life/Disability Insurance
- Maternity and Paternity Leave
- Panasonic Employee Discounts
- 15 Days Paid Vacation and 12 Company Holidays
- Employee Assistance Program
- And more
About Hussmann
For over a century, Hussmann Corporation has been a global leader in commercial refrigeration equipment — delivering solutions that meet the demands of the modern food retailing industry. Headquartered in St. Louis, MO, Hussmann offers a diverse range of products and connected solutions designed to enhance operational efficiency, optimize visibility of merchandise, and keep food fresh. With a nationwide network of skilled technicians, Hussmann goes beyond manufacturing — a trusted partner, relentlessly driving customer success.
For more information about Hussmann, please visit www.hussmann.com.
Hussmann is a subsidiary of Panasonic USA.
Hussmann is proudly committed to creating an inclusive environment. All qualified applicants will receive consideration for employment without regard to veteran status, disability, age, race, color, religion, sex, national origin, genetics, medical condition, or any other characteristic protected by law.
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