**Do you want your voice heard and your actions to count?**

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 7th largest financial group in the world. Across the globe, we’re 120,000 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.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

**Job Summary**

Data Integration/ETL Lead with hands-on experience in designing and implementing data warehouses and data marts for large financial institutions. Experienced in leading development team in a matrix organization to implement high-quality solutions using Informatica and related database technology such as DB2, AWS services. Work with business and technology teams to analyze requirements, estimate, plan, and design solutions. Lead onsite and offshore resources for the development and implementation of complex workflows and mappings using AWS cloud-based Enterprise Data Platform ,Python, Informatica ETL, Unix shell scripts to satisfy the business requirements. They will possess in-depth knowledge of current and emerging technologies. The ability to communicate clearly, both in writing and verbally, is essential. Will also support the portions of the batch cycle and any required changes to the schedule. Will closely work with Chief Data Office (CDO) and Americas Risk Management teams to handle the data analysis requests, internal controls, performance tuning, impact analysis requests. Leverage Bank’s Data Governance, Metadata tools and processes to manage end to end lineage.

**Major Responsibilities:**

+ Designing, developing and implementing data warehouse solutions for the Bank utilizing expertise in enterprise data architecture, designs, solutions and technologies

+ Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the business

+ Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources

+ Work with large volumes of structured and unstructured data from various sources into AWS data lakes or data warehouses.

+ Optimize data integration platform to provide optimal performance under increasing data volumes.

+ Develop and document the data audit, archiving, and restoration processes

+ Develop quality standards to ensure data quality and integrity across various database systems

+ Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs

+ Develop data integration standards according to the organization’s information services policies as well as best practices

+ Work with business users to translate functional specifications into technical designs for implementation and deployment

+ Learn to use best Data Integration Standards and Implement.

+ Defining and maintaining Data Governance standards and policies as well as optimizing efficiency and improving processes and document the process and standard methodologies.

+ Functioning as a Subject Matter Expert (SME) for technical applications relating to banking, including loans, deposits, guarantees, foreign exchange, treasury, trade finance, derivatives, credit control and liquidity risk management

+ Lead responsibilities include directing, monitoring and assigning work to those on the team

+ Support systems that integrate with existing enterprise applications, legacy systems and implement the best data integration approaches to meet the new and emerging enterprise requirements.

+ Works on large, complex projects that have enterprise-wide impact and require subject matter expertise of multiple process improvement areas and mastery of process improvement tools.

+ Experience in Product Scrum Master

+ Involve in data governance processes relate to data quality and information management, managing the metadata repository etc.

+ Regularly engage and consult stakeholders on solving business problems through data, guiding the conversation rather than following orders.

+ Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.

+ Accomplish at designing dashboards and data summaries for technical and non-technical audiences and facilitating implementation of business strategies and missions.

+ Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.

+ Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.

+ Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.

​

**Qualifications**

+ 12 years of technical software development experience implementing Enterprise Datawarehouse with ETL using Informatica and AWS services

+ 5 years of experience in managing and owning a complex Data Warehouse to support Business Needs.

+ Experience in migrating on-prem Business DataMart into AWS environment and implementing Data Governance controls.

+ 5 years of experience must be in the banking or financial services domain with ETL development using Informatica PowerCenter; Unix Shell Scripting; designing relational and dimensional databases; and developing and scheduling batch jobs using Cisco Tidal Enterprise Scheduler or Autosys

+ 5 years of experience must include core banking products & services

+ Developing Python data integration and validation scripts; and performing real-time data integration; and following Agile project management methodologies;

+ Experience working on large (100 TB+) scale data warehouses (DW)/ operational data stores (ODS)

+ Significant experience in building data models for MPP, Relational and NoSQL technologies such as BigData, Hive, Redshift

+ Good experience of working with globally distributed teams in a collaborative and productive manner

+ Excellent interpersonal and communication skills across variety of stakeholders, ability to negotiate with and influence others.

+ Experience in team management, communication, and presentation.

The typical base pay range for this role is between $120K - $150K depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

MUFG Benefits Summary (https://careers.mufgamericas.com/sites/default/files/document/2023-01/mb-live-well-work-well.pdf)

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 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.