Data Platform Engineering (Python, Java), Assistant Vice President

Company: MUFG Union Bank
Location: Charlotte, North Carolina, United States
Type: Full-time
Posted: 30.AUG.2021
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Your potential. Your opportunity.Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Finan...


Your potential. Your opportunity.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 (as ranked by S Global, April 2020). In the Americas, we're 13,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, developing positive relationships built on integrity and respect. It's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. We're a team that accepts responsibility for the future by asking the tough questions and owning the solutions. Join MUFG and be empowered to make your voice heard and your actions count.Job SummaryIn 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.Major Responsibilities: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 analyticsTriage problems across the data platform to help address development, test, and production issuesAssist other engineering groups with data architecture, pipeline development, automation and planningMaintain best practices to facilitate optimized software development and continuous improvement/continuous delivery (CI/CD)QualificationsUndergraduate degree in computer science, engineering, or a related discipline preferred5-6 years' experience in data platform engineering, 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 preferredExperience 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) skillsSolid understanding of Linux operating system (OS), networking, and securityStrong foundation in OOP and object-oriented design (OOD) principles Strong foundation in AWS Cloud Services and DevSecOpsStrong foundation in Docker and Redhat OpenshiftExperience in developing and automating data pipeline and deployment in PythonExperience with developing and configuring AWS CloudWatch, S3, and StepFunctionExperience creating and configuring Docker images to increase productivity and efficiency of other data engineers workExperience troubleshooting Linux/Unix shell production systemsPreferred candidate with system design thinking, plan and author technical documents, problem solving, and prioritization skillsThe above statements are intended to describe the general nature and level of the 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 in employment decisions on the basis of any protected category.A conviction is not an absolute bar to employment. Factors such as the age of the offense, evidence of rehabilitation, seriousness of violation, and job relatedness are considered in all employment decisions. Additionally, it's the bank's policy to only inquire into a candidate's criminal history after an offer has been made. Federal law prohibits banks from employing individuals who have been convicted of, or received a pretrial diversion for, certain offenses.

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