Data Engineer

Job Description

· We are seeking a Lead Software Engineer to support products and programs to expand capabilities within leveraging data-driven strategies to support credit decisioning services and data pipelines for analytics.

· Responsibilities include supporting the architecture for a data-driven organization and overseeing the build and operation of capabilities necessary for full lifecycle data management, governance, provisioning, modeling, science, and analytics.

· Act as a leading voice for enabling data-driven decisioning deeply into our products and business processes.

· Engage within a team of data subject matter experts, covering the range of data[1]centric domains, building, governing, and operating data platforms, as well as providing embedded data professionals in product delivery teams.

· Balance a strategy which leverages on-premises while driving toward a cloud-first strategy, performing legacy data transformation where necessary.

· Mentor to other developers, and responsible for guiding and directing day-to-day activities within a sprint, and ensuring standards and processes are followed across

Responsibilities

· Set and maintain design guidelines / principles, along with enforcing controls preferably through automation

· Design, develop, and model execution platform using AWS Services and open source components

· Deploy and migrate developed workflows across different environments

· Modify and optimize existing decisioning processes

· Integrate Decisioning platform with other systems and components

· Facilitate engaging collaboration with cross-functional technology SMEs to design scalable, reliable, resilient, maintainable technical solutions

· Establish and execute appropriate testing within assigned platforms to enable earlier and more frequent testing

· Lead the development of technically complex and highly integrated functionality, including coaching and guiding developers during development cycles, to ensure requirements are being met within defined timelines

· Partner with Product Management to ensure design, engineering and implementation meets business needs

· Drive continued adoption of engineering best practices using modern SDLC that enables CI/CD and favors automation, auditability, automated testing, and cloud native architectures

Requirements

Must Have Skills:

1) Top three required technical skills = Python, SQL, DBT

2) A minimum of seven years of professional software engineering experience

3) Direct experience and significant professional experience with Python, Typescript, Scala, SQL

4) Five years of experience with cloud computing in AWS.

5) Deep functional experience with EKS, Aurora, MSK, DBT, Airflow

6) In-depth RDBMS development experience (e.g., PostgreSQL, MySQL, Aurora).

7) Experience in design, implementation and CI/CD pipelines and Infrastructure-as-Code

8) Experience with automated delivery pipelines, agile delivery, and test-driven development

9) Experience with a variety of programming styles (e.g., OO, functional) and in-depth knowledge of software design patterns

10) SCRUM/Agile/iterative methods

11) Experience with API and integration frameworks and patterns with GraphQL, gRPC or Kakfa

12) Bachelor’s Degree

Full-time