Do you want your voice heard and your actions to count?
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 5th largest financial group in the world. Across the globe, we're 180,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
This is a remote position. A member of our recruitment team will discuss location preferences with you in more detail.
In this role you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing and automate data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products
Design, build, automate data pipeline, testing systems, event monitoring and notification systems, that implement key aspects of the full data pipeline lifecycle, including acquisition, transformation, management, export, and analytics
Triage problems across the data platform to help address development, test, and production issues
Assist other engineering groups with data architecture, pipeline development, automation and planning
Maintain best practices to facilitate optimized software development and continuous improvement/continuous delivery (CI/CD)
Undergraduate degree in computer science, engineering, or a related discipline preferred
6-8 years' experience in platform engineering, concentrating on concentrating on data pipeline development and automation, scaling and optimizing Amazon Web Services (AWS) infrastructure, creating and configuring Docker image, and deployment in Redhat Openshift.
Experience in the financial services or banking industry preferred
Experience implementing enterprise systems with security best practices and site reliability engineering principles.
Proficient Primary in Python and secondary in Java.
Advanced structured query language (SQL) skills
Solid understanding of Linux operating system (OS), networking, and security
Strong foundation in OOP and object-oriented design (OOD) principles
Strong foundation in AWS Cloud Services and DevSecOps
Strong foundation in Docker and Redhat Openshift
Experience in developing and automating data pipeline and deployment in Python
Experience with developing and configuring AWS CloudWatch, S3, and StepFunction
Experience creating and configuring Docker images to increase productivity and efficiency of other data engineers work
Experience troubleshooting Linux/Unix shell production systems
Preferred candidate with system design thinking, plan and author technical documents, problem solving, and prioritization skills
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.
We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.