Support Data Engineer Support Data Engineer

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 great 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. 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 great 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.