Data Pipelie Delivery- Senior Analyst

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 new 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. Job title: Data Pipeline Delivery Corporate Title: Analyst Experience-5-8 years Job Location- Bangalore Job Description: The Enterprise Data & Data Capabilities team in Technology is focused on a transformative journey that supports our data strategy, including how we develop and deliver critical business outcomes and how we engage with partners across MUFG for Data, AI, and BI services. Our team is seeking an experienced and delivery-focused professional to join as Data Engineer, AI-Assisted Data Pipeline Development, responsible for designing, developing, and modernizing enterprise data pipelines. The role requires hands-on expertise in Snowflake, Python, SQL, and modern data engineering practices, with strong exposure to AI-assisted development techniques that improve pipeline productivity, data quality, automation, and delivery outcomes. The role involves close collaboration with data services teams, technology partners, product owners, business stakeholders, architects, and senior leadership. The successful candidate will lead and contribute to data pipeline design, ingestion strategy, transformation logic, testing, monitoring, documentation, governance alignment, and delivery execution across enterprise data platforms, AI-enabled solutions, and agile delivery practices.  Responsibilities: Lead the analysis, validation, cleansing, enrichment, and preparation of data from multiple sources for reporting, analytics, operational, and AI-enabled use cases. Design, develop, test, optimize, and monitor AI-assisted data ingestion pipelines that deliver structured and unstructured data into enterprise platforms, with a strong emphasis on Snowflake-based environments. Apply AI-assisted pipeline development approaches to accelerate Python-based data preparation, transformation logic, orchestration support, code generation, troubleshooting, and creation of model-ready datasets for generative AI and analytics workflows. Define and maintain technical documentation covering data mappings, transformation rules, lineage, quality controls, operational procedures, runbooks, and production support processes.