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MUFG · 1 day ago

Data Pipeline Developer, Assistant Vice President

Jersey City, NJ

Full-time

Hybrid

Mid, Senior Level

$110K/yr - $134K/yr

5+ years exp

Mitsubishi UFJ Financial Group (MUFG) is one of the world’s leading financial groups, focused on building long-term relationships and fostering sustainable growth. The role of Assistant Vice President, Data Pipeline Developer, involves supporting the Enterprise Data Pipeline team in delivering critical business outcomes through data strategy, requiring collaboration with various business lines and managing project timelines and risks.

Financial Services

No H1B

Responsibilities

Work with data architects, data/systems analysts, business users in understanding business requirements, business rules, and business outcomes and objectives

Function as data and integration SME and supply business and technical knowledge on required subject-areas and systems

Conduct impact analysis

Document, develop, test, implement, monitor, maintain, and support enterprise data solutions

Document, develop, test, implement, and maintain complex ETL/ELT mappings, workflows, and scripts based on architecture, requirements, mappings, technical specifications, and other supporting documentation

Investigate, troubleshoot, and resolve failures, data and other issues proactively (and preemptively where possible)

Ensure security, scalability, maintainability, and supportability of solutions

Meet or exceed data quality and integrity standards

Perform and support DUT/SIT/UAT/DR/regression testing activities

Handle user inquiries and production support

Create and maintain project, design, data flow, technical, how-to, and other required documentation

Recommend and follow best practices, standards, processes, and procedures

Qualification

Data Pipeline DevelopmentCloud Platforms AWSCloud Platforms SnowflakeSQL OptimizationETL/ELT DevelopmentData Lake InfrastructureData WarehousingData Analytics ToolsData EngineeringAgile DevelopmentJiraConfluenceMS OfficeAnalytical ThinkingCommunication SkillsCollaborationProblem-Solving

Required

Degree in Computer Science, Software Engineering, Data Science, Information Technology, Information Systems, or a related field

5+ years of hands-on experience with complex, large-scale data warehouse and data Pipeline projects

3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools

3+ years of experience in Implementation of cloud platforms like AWS, Snowflake etc

3+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.)

Experience in implementing cloud-based data solutions using AWS services (EC2, S3, EKS, Lambda, API Gateway, Glue) and big data tools (Spark, EMR, Hadoop)

Hands-on experience in data profiling, data modeling, and data engineering using databases (Snowflake, RedShift, DB2, Oracle, SQL Server), ETL tools (Informatica, IICS), and scripting languages (Python)

2+ years' experience with job/workflow management tools (Autosys) and other pipeline orchestration tools

Hands-on experience with data domains such as loans, deposits, trade finance, markets, investment banking, transaction banking, payments, compliance in the banking or financial services industries

Experience architecting end-to-end data pipelines with both cloud and on-premises stacks

Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

Working knowledge of agile development, including DevOps concepts

Experience in Jira, Confluence, MS office

Communicates effectively

Identifies multiple paths to success using analytical and critical thinking as well as decision-making skills

Exercises sound judgment, prioritizes effectively, and strives for continuous improvement

Effectively collaborates with colleagues

Leverages available technology to drive efficiency and results

Understands and applies industry trends and best practices

Exhibits optimism, resilience, flexibility, and openness to others' ideas

Values learning as a lifelong professional objective