Overview

- The Support Data Engineer is key to the smooth operation of MUFG s client and internal reporting systems.

- The role will handle failures in production systems and proactively work to ensure stability and improved performance of these systems.

- The role requires a professional who is a outstanding problem solver, adaptable to new systems, is calm and efficient under pressure, and can balance quick wins and long-term strategic interventions.

Key Accountabilities and main responsibilities

Strategic Focus

- Timely, efficient, and high-quality investigation and resolution of high impact issues to ensure smooth ongoing operation of the Data and Analytics reporting systems.

- Monitor, maintain, and optimize data pipelines to ensure consistent data flow and processing.

- Identify and resolve bottlenecks or inefficiencies in existing data pipelines.

- Diagnose and resolve data-related issues, such as failed jobs, data inconsistencies, or performance degradation.

Operational Management

- Investigate bugs, root cause analysis, tune queries and perform peer review.

- Document investigations and solutions and maintain operational runbooks for common situations and tasks

- Provide timely support and technical guidance during incident triage by identifying the impact of failures and bugs.

- Proactively track the health and performance of data systems and pipelines

- Proactively identify potential issues and address them before they impact production.

- Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and ensure accurate and timely data availability.





- Collaborate with development teams to implement improvements and updates to data systems.

Governance & Risk

- Ensure timely completion of activities by adhering with the agreed processes & quality standards.

- Individual should adhere to data design best practices.

- Adhere to MUFG s standards, policies, and procedures.

- Follow and identify improvements in team s procedures.

- The above list of key accountabilities is not an exhaustive list and may change from time-to-time based on business needs.

Experience & Personal Attributes

Experience

- Overall, 7-10 years of development experience in Visual Studio including SSIS, SSRS, and SSDT

- 5+ years experience writing and tuning SQL queries using SQL Server

- Strong understanding of Data Warehousing processes and concepts.

- Experience creating and maintaining reports through SSRS.

- Experience using the following applications is desirable: Control-M, Jira, ServiceNow and Azure DevOps

Personal Attributes

- Effective verbal and written communication skills, needed to communicate with global teams/stakeholders.

- Practical and simple problem-solving approach to provide timely, practical, and robust solutions

- Effective Team player with collaborative skills, learning and proactive attitude.

- Quality orientation with attention to detail.

- Commitment to continuous improvement.

- Collaborate and share knowledge with other members of the team to ensure we are always evolving our collective skills and staying on the cutting-edge.

- Effectively communicate complex technical concepts to non-technical stakeholders and collaborate closely to understand evolving business requirements.

📌 Support Data Engineer (Noida)
🏢 MUFG Pension u0026 Market Services
📍 Noida