AVP - Data Visualization Specialist [T500-18874]

About Us :

MUFG Bank, Ltd. is Japan’s premier bank, with a global network spanning in more than 40 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide. MUFG Bank’s parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, the Group has about 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing.

The Group aims to be the world’s most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York stock exchanges.

MUFG Global Service Private Limited :

Established in 2020, MUFG Global Service Private Limited (MGS) is 100% subsidiary of MUFG having offices in Bengaluru and Mumbai. MGS India has been set up as a Global Capability Centre / Centre of Excellence to provide support services across various functions such as IT, KYC / AML, Credit, Operations etc. to MUFG Bank offices globally. MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFG’s global network across Americas, EMEA and Asia Pacific

About the Role :

Position Title : Data Engineer or Data Visualization Analyst

Corporate Title : AVP

Reporting to : Vice President

Job Profile

Position details :

Cloud Data Engineer with a strong technology background and hands-on experience working in an enterprise environment, designing, and implementing data warehouses, data lakes, and data marts for large financial institutions. Alternatively, Data Visualization Analyst with BI & Analytics experience with exposure to or experience in Data Engineering or Data Pipelines can be considered. In this role you will work with technology and business leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS) along with Modern Data Platform such as Snowflake and Data Virtualization tool such as Starburst. Successful candidates will possess in-depth knowledge of current and emerging technologies and demonstrate a passion for designing and building elegant solutions and for continuous self-improvement.

Roles and Responsibilities :

• Manage data analysis and data integration of disparate systems
• Create a semantic layer for data virtualization that connects to heterogenous data repositories
• Develop reports and dashboards using Tableau, Power BI, or similar BI tools as assigned
• Assist Data Management Engineering team (either for Data Pipelines Engineering or Data Service & Data Access Engineering) for ETL or BI design and other framework related items
• Work with business users to translate functional specifications into technical designs for implementation and deployment.
• Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms.
• Assist with Data Quality Controls as assigned
• Work with cross functional team members to develop prototypes, produce design artifacts, develop components, perform, and support SIT and UAT testing, triaging and bug fixing.
• Optimize and fine-tune data pipelines jobs for performance and scalability.
• Implement data quality and data validation processes to ensure data accuracy and integrity.
• Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs.
• Convert physical data integration models and other design specifications to source code.
• Ensure high quality and optimum performance of data integration systems to meet business solutions.

Job Requirements :

Business Acumen – 15% : Knowledge of Banking & Financial Services Products (such as Loans, Deposits, Forex, etc.). Knowledge of Operational / MIS Reports, Risk and Regulatory Reporting for a US Bank is a plus.

Data Skills – 25% : Must have proficiency in Data Warehousing concepts, Data Lake & Data Mesh concepts, Data Modeling, Databases, Data Governance, Data Security / Protection, and Data Access.

Tech Skills – 50% :

Human Skills – 10% :