Data Warehouse Engineer

Aqua Finance, Inc. is looking for a Data Warehouse Engineer to join our thriving Data and Business Analytics team. We’re growing and we are looking for a driven individual who will engineer and provide support for the Azure and Snowflake cloud-based company Data Warehouses (DW) which maintains all operational and financial data. This role is responsible for design and development of data pipelines and data products. You will work with SMEs, architects, analysts, data scientists, and others to build solutions that integrate, process, and store data from many internal and external enterprise data sources.

Flexible work option: Although working at our Headquarters location in Wausau, WI is preferred, you can choose to work REMOTE from your own home office space..

Who We Are

Born in the Midwest, we serve communities across the country by providing flexible, indirect lending options for customers who are looking to finance their dream home improvement project or finance a boat, RV or other recreational power sports. Aqua Finance focuses on what matters most, creating an unmatched experience for our partners, teammates, and the customers we serve.

Top Reasons to Work with Us!

• - we love to watch our team grow!
• Your growth is driven by you! If you are looking for advancement, we will put you on the path to get there!
• Our employees are passionate about building great teams and being great teammates
• Excellent benefits to include Generous PTO, sick days, holidays, personal days, PLUS volunteer time off!
• We love our community and donate/volunteer for charity fundraising events.

What you will be doing as a Data Warehouse Architect

• Enable data analytics by centralizing and integrating high-quality and large data sets in a performance and scalable cloud analytical platform and Data Warehouse
• Work with business analysts, data scientists to enable data discovery and its curation for analytical purposes and build reports
• Design and build scalable data pipelines with optimal data ingestion, extraction, transformation, and loading (ELT, ETL) of data from a wide variety of data sources using Big Data and Integration technologies.
• Build frameworks, standards & product features to enable self-service analytics
• Optimize performance and scalability of data warehousing systems.
• Partner with stakeholders, including data, reports design, product, and executive teams, and assist them with data-related technical issues
• Work with the DBAs to ensure solutions meet the SLAs with the business.

Knowledge, Skills and Abilities:

• Knowledge of programming and architectural principles, data integration styles, data models and data integration tools for on-prem and/or cloud-based environments.
• Knowledge of BI, analytics, structured data, such as entities, classes, hierarchies, relationships, and metadata.
• Knowledge of database management system (DBMS) physical implementation, including tables, joins and SQL querying.
• Knowledge in technologies across all data lifecycle stages.
• Familiarity with the use cases, business purposes and quality of the data.
• Familiarity with BI tools such as SSRS (Power Bi, Sigma)
• Track record in succeeding in a goal-driven environment
• Ability to use phone, fax, email, Internet.
• Use MS Word, Excel, and PowerPoint to facilitate the efficient management of data and the development of reports/promotional/informational/training materials.

Salary Range

$87,900 - $153,800