MUFG Union Bank Enterprise Data Platform - Data Engineer in Charlotte, North Carolina
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&P Global, April 2018). In the Americas, we’re 14,000 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
MUFG Americas is embarking on a business and technology transformation program built upon the three foundation pillars: Core Banking Transformation Program (Pillar 1), Data & Reporting Transformation Program (Pillar 2), and Technology Modernization Program (Pillar 3). This position supports Pillar 2 which will transform the data ecosystem by moving to a three-layer data architecture with capabilities such as data quality by design, standardized data, simplified near real-time data flows, high levels of automation, straight through processing (STP), and broad application of a risk based control framework. This will enable MUFG to improve controls, reduce expenses, enhance client experience, and develop advanced analytics to help drive our business.
Overall Purpose of Job:
The Enterprise Data Platform (EDP) Design & Controls team seeks a talented Cloud Data Engineer who will focus on data sourcing analysis, data quality, automated testing, exception processing, error handling & notification, and correction processing of source system data as it enters and is processed through the EDP. You will join a high profile lean and agile team that will focus on building the firm’s next generation data services platform.
Design and develop highly available distributed system to extract, transform and load (ETL) data from disparate sources across the organization. Build real-time analytics integrations with state-of-the-art digital banking systems.
Work with data providers and data consumers to build and deploy scalable Machine Learning models to production.
Design and build RESTful APIs, Automated Testing Systems, Event Monitoring and Notification Systems
Provide clear documentation on design decision and workflows.
Design & Develop Calculator component of Enterprise Data Platform and integrate with main data pipelines for the Data Lake
Work with partners including the Business, Enterprise Architecture, Infrastructure, and Chief Data Office to assist with
Support data reconciliation and controls in Enterprise Data Platform (EDP)
Handle user inquires and provide level 3 production support including Onsite/Offshore collaboration as needed
Maintain best practices to facilitate optimized software development and continuous improvement/delivery (CI/CD)
Bachelor's degree in Computer Science, Computer Engineering or equivalent.
6 years' experience required
Professional experience as a Data Engineer, Software Developer or related field in building real-time data pipelines for very large datasets required.
Data engineering know how of SQL, Informatica PowerCenter or similar.
Hands-on experience in various programming languages like Python, Java as well as UNIX/Linux
Knowledge of cloud based architecture and solution is a big plus (AWS preferred)
Experience developing stream-based data pipelines like Kafka is a requirement for this position.
Awareness of data governance aspects like metadata, business glossaries, canonical models, etc
Experience with the ETL (Wherescape RED, Wherescape Streaming, Streamsets, SOAP API) toolsets a plus
Knowledge of Retail and Commercial Banking Deposit and Loan Systems is a plus.
Hands-on experience in designing and using relational databases like SqlServer, Oracle
Hands-on experience in advanced SQL
Hands-on experience in Enterprise Schedulers (such as Autosys)
Familiar with DevOps toolchain, i.e. BitBucket, JIRA, Jenkins Pipeline, etc.,
Ability and desire to learn new technologies quickly and ability to work independently and meet deadlines
The 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.
Primary Location: NORTH CAROLINA-Charlotte
Schedule Full Time
Req ID: 10037118-WD