Location: fully remote
Reports to: vp, data & business intelligence
Summary
The data warehouse developer works as part of kasasa’s data engineering team which is comprised of data management developers, data warehouse developers, and product owner and reports to kasasa’s vp of data & business intelligenceThe data engineering team operates as part of a cross functional development team that includes architecture, cloudops (devops), product owners and other developersWhat you will do:
Our data warehouse developers are key members of the kasasa development team and are responsible for delivering kasasa’s enterprise data model within the kasasa data warehouseYou`ll be primarily focused on creating, modeling, and populating data schemas within the kasasa data warehouse for use in providing clean and consistent data for use in business intelligence, research, and product application initiativesYou`ll be hyper focused on ensuring the successful journey of data into, and through, the kasasa data warehouse by managing its etl, quality assurance, metadata, and data lifecycle processes.
*a successful candidate can explain the rationale for dimensional modeling over other forms of warehouse designs and how the technique can be used for accelerating feature development, clearly articulate design decisions made in past warehouse projects and how they meet or exceed business requirements, and why they were taken, and can reconcile technical implementation details to business value being delivered and can discuss trade-offs between purity and delivery speed*
Essential functions & responsibilities
Delivering projects that enhance kasasa’s enterprise data model within kasasa’s data warehouse
Creating physical and logical data models with large, complex data sets
Develop and maintain an optimized data pipeline architecture
Managing data etl/elt processes using sql and python
Maintaining data lifecycle and quality standards of the kasasa data warehouse
Updating data dictionaries and other relevant documentation
Work directly with the product owner to translate kasasa’s strategic vision into actionable data management team initiatives
Partner with business intelligence team to drive usage-first mentality into data warehouse delivery
Work in an agile development environment and participate in agile development ceremonies
Supporting stakeholders with the in-production use of kasasa’s data features
Communicate changes, enhancements, and modifications
Required experience/skills
5 years of experience with database development and database integration
3 years knowledge of dimensional modeling (kimball)
Experience in data engineering for business intelligence and analytics
Knowledge of data warehousing best practices
3 years of experience in managing data etl/elt systems in large data systems
Experience with cloud technologies such as aws s3, amazon redshift, and others
Experience with columnar data structures such as amazon redshift
Excellent listening, interpersonal, written, and oral communication skills
Preferred experience/skills
Bachelor’s degree in computer science, computer engineering, or equivalent experience
Experience in automated unit and integration testing methodologies
Experience with object-oriented/object function scripting languages: python, java, c++, scala, etc.
History of working with agile software development practices
Only the passionate need apply!
We`re looking for much more than qualified applicants! we want individuals who believe that anything worthy of their effort is worthy of their best effortThat anything we produce should not merely compete but truly dominate its category.
Kasasa employees are dedicated to helping community banks and credit unions compete and winLike the spartans in the battle of thermopylae, we stand together and inspire others to join us in our missionStronger together and united by core values, we are more than a team: we are a phalanx.
Are you ready to join an amazing group of people who genuinely love their jobs, in an environment that inspires greatness?
We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, ancestry, national origin, citizenship status, gender, gender identity, pregnancy, sexual orientation, transgender status, marital status, religion, creed, age, physical or mental disability, results of genetic testing, genetic information, past, present or prospective service in the military, or any other characteristic or activity protected by federal, state, or local law.
