THE TEAM YOU WILL BE JOINING:

• Top 25 U.S. digital financial services company committed to developing award-winning technology and services.
• Named one of the top three fastest-growing banking brands in the U.S. in 2020.
• Offers a full suite of products including mortgage lending, personal lending, and a variety of deposit and other banking products (savings, money-market, and checking accounts, certificates of deposit (CDs), and individual retirement accounts (IRAs)), self-directed and investment-advisory services, and capital for equity sponsors and middle-market companies.
• Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered.

WHAT THEY OFFER YOU:

• Fast paced, highly collaborative, teamwork-oriented environment
• Make an immediate impact in this high visibility role
• Ability to drive change within the organization with a focus on advancement in technology and programs
• Top-notch leadership committed to developing people

• Design and build to enhance an ever-expanding data platform supporting business process needs for internal and external integration via APIs, data models, self-serve reporting solutions, and interactive querying
• Define, build, test, document and audit data platform artifacts including data models, data flow processes, integrations, etc.
• Develop standard methodologies and frameworks for unit, functional and integration tests around data pipelines, and drive the team towards increased overall test coverage
• Design Continuous integration and deployment processes and best practices for the production data pipelines.
• Create data platform artifacts for data flow processes and integrations
• Work with the latest and greatest technologies in the Microsoft cloud stack including Azure SQL, Synapse, Data Lake, Data Factory, Databricks, Azure function, Service Bus, etc.
• Collaborate and influence Users, Engineers and Products partners to ensure our data infrastructure meets constantly evolving requirements
• Finds opportunities to adopt innovative technologies that fuels company vision

• Bachelor's degree in Computer Science, Information Systems, similar technical field of study or equivalent practical experience
• 5+ years of relevant work experience
• Experience working with cloud platforms such as Azure or AWS
• Solid understanding of real-time data processing, data pipelines, transformation and modeling using traditional and distributed systems
• Experience with development of test automation solutions
• Detailed knowledge of Relational, Multi-Dimensional databases and No-SQL solutions
• The successful candidate will have strong programming skills, especially in SQL, data modeling and related data processing concepts
• Experience with developing and architecting data ingestion models, ETL jobs, and alerting to maintain high availability and data integrity
  • Experience working in Python, PySpark. Databricks experience is preferred
  • Experience working with real-time data processing framework using Kafka / Azure event hubs
  • Experience in building modern data lake architectures like Lakehouse/Lambda