The Data Engineer will contribute to the development of enterprise analytics products and data management solutions in support of UHM’s strategic initiatives. Their job is to optimize databases, develop ETL solutions, and manage automatized data flow. The Data Engineer will supervise database content and vouch for data quality. This position will function as a technical leader, making sure that the data architecture under your watch is secure and sustainable. You will work together with other teams on developing various data integration strategies. The Data Engineer will work directly with our IT Data Analytics partners to implement the next generation of data visualization and insights.
At UHM, we understand diversity comes in many different forms. It’s our commitment to improve inclusion in the workplace through programs and policies that establish a positive and inclusive environment where every Partner, regardless of their background, can grow and excel. We value diversity, educate on equity, and create inclusive partner opportunities to ensure that you know #UBelongAtUHM!
Work closely with the Enterprise Data Warehouse Manager and Team Leads to implement a modern data and analytics platform.
Lead the design, construction, and implementation of robust, fault tolerant data pipelines to clean, transform and aggregate unorganized and messy data into data products
Determine tools and strategies to deliver solutions that demonstrate effective Business and IT alignment.
Ensure data integrity with data profiling, data cleansing, and data audits
Ensures enterprise data is structured for ease of use and adheres to data modeling standards and best practices
Provide testing and production support as needed
Maintain a detailed knowledge of research, trends, and innovation in the Data & Analytics technology space. Makes recommendations or offers alternative solutions for the improvement and growth of Enterprise analytic capabilities
Provide guidance and training to other team members in the form of feedback, lunch and learns, and day-to-day mentoring
Education & Qualifications:
Bachelor's Degree in Computer Science, Data Analytics, or related field
5+ years of experience architecting, designing, developing, and maintaining large scale cloud data solutions utilizing a mixture of Big Data and Relational database platforms
Proven experience and proficiency with SQL
Experience staging and loading data to an Enterprise Data Warehouse
Knowledge of data integration tools, data governance, and enterprise grade reporting systems
Experience driving technical ideas and communication clearly with technical, as well as not-technical audiences
Passion for data and analytics with a willingness to learn and adapt new technologies
Excellent problem-solving skills
Detail oriented with the ability to exercise sound judgment
Self-Motivated individual with excellent written and verbal communication skills
Ability to take ownership and manage multiple tasks simultaneously to meet deadlines.
Willingness to work both independently and in a team-oriented environment.