MUFG (Mitsubishi UFJ Financial Group), a leading global financial institution with 120,000 colleagues worldwide, is seeking an experienced Data Pipeline Developer to join their Enterprise Data Pipeline team in Technology. This role is crucial in supporting their data strategy and delivering critical business outcomes.
The position offers a hybrid work arrangement with four days in the office and one day remote, providing a balance between collaborative work and flexibility. The salary range is competitive at $110,000 - $134,000, complemented by performance-based bonuses and comprehensive benefits.
As a Data Pipeline Developer, you'll be at the forefront of MUFG's data transformation journey, working with cutting-edge technologies including AWS, Snowflake, and various big data tools. The role involves significant interaction with stakeholders across all lines of business, including Global Corporate & Investment Banking, Finance, Risk, and Compliance.
Key responsibilities include developing and maintaining complex ETL/ELT processes, ensuring data quality and integrity, and implementing secure and scalable data solutions. You'll work with both cloud and on-premises stacks, handling large-scale data warehouse projects and implementing cloud-based data solutions.
The ideal candidate brings 5+ years of hands-on experience with data warehouse projects, strong programming skills in Python and SQL, and extensive knowledge of cloud platforms. Experience with financial services data domains is highly valued, as is expertise in metadata-driven architecture and DevOps practices.
MUFG offers a culture focused on innovation, collaboration, and continuous learning. Their Culture Principles emphasize client-centricity, inclusive thinking, and innovation. The company provides comprehensive benefits including health coverage, retirement plans, educational assistance, and paid parental leave.
This role presents an excellent opportunity for a data professional looking to make an impact in a global financial institution while working with modern data technologies and contributing to significant business transformations. The position offers both technical challenges and opportunities for professional growth within a supportive and forward-thinking organization.