Do you want your voice heard and your actions to count

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world s leading financial groups. Across the globe, we re 150,000 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 current 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.

Position details

The Risk Reporting team is responsible for designing developing the technologies that support data warehousing, data mining, Business Intelligence (BI) and reporting for the Group. To enhance the existing risk reporting data warehouses, tools and technologies.

Roles and Responsibilities

- Contribute to the design and and development of efficient data models, schemas and pipelines
- Develop data ingestion and processing solutions using existing framework
- Write complex SQL queries, stored procedures and functions to extract, transform and load data
- Optimize query performance to ensure data integrity and consistency
- Providing BI technology subject matter expertise, collaborating with risk stakeholders to




- understand business requirements and translate them into technical solutions
- Implement data security measures and access controls aligned with firm s governance policies
- Monitor and troubleshoot data pipelines; identify performance bottlenecks and implement solutions
- Participate in code reviews and document change made in the required format
- Implement and maintain CI/CD pipelines for automated testing, deployment and monitoring of data solutions

Job Requirements:

-Essential

Strong proficiency in SQL, with an in-depth understanding of advanced SQL concepts and

techniques

Experience working with large scale, multi-terabyte data warehouses

Solid knowledge of data warehousing principles, dimensional modelling and star schema design

Hands-on experience with Snowflake, including their architecture, features and best practices

Familiarity with data integration tools and techniques (ELT, ETL)

Expert level PowerBI experience

Familiarity with scripting languages (e.g. Python, Powershell) for data processing and automation

Experience with dbt (data build tool) for data transformation and modelling

Preferred

Experience of working with risk systems within a financial institution

Experience of using Control-M or similar orchestration tools

Familiarity with Agile methodologies and DevOps practices

.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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