Why Mizuho
At Mizuho, we provide the stability of an international industry leader with the career trajectory of a growing business. Our steady, strategic growth gives our people at all levels rewarding degrees of responsibility and richer work experience than a boutique firm or an established giant could offer alone
It’s the local expertise of our employees that makes our global network so powerful. By collaborating with colleagues and clients who have the same ambition and drive, you can amplify your sphere of influence and base of knowledge as part of one of the largest and growing banks in the world.
We are seeking a hands-on Data Integration Engineer to design, build, and modernize scalable Credit Risk data platforms and integration pipelines. The role requires advanced Python and SQL engineering skills, strong experience with PySpark, Databricks, and Azure, and hands-on ownership across the full SDLC including design, development, testing, deployment, and production support. The successful candidate will develop and optimize enterprise-scale data solutions,
work closely with business and technology stakeholders, and contribute to the modernization of strategic Credit Risk platforms.
Key Responsibilities:
Develop and optimize complex SQL queries, stored procedures, and data models
Build large-scale data processing pipelines using PySpark in Databricks
Apply Delta Lake and medallion architecture patterns to create maintainable and scalable data products
Implement data governance, access controls, and cataloguing using Unity Catalog.
Develop and manage Databricks workflows and batch jobs, including automated data quality, validation, reconciliation, and testing frameworks.
Design and implement scalable ETL/ELT pipelines and cloud-native data integration solutions using up-to-date data engineering practices. Having a good understanding of Data warehouse concepts and working in SSIS is desirable.
Work within Azure ecosystem ADF, Azure SQL, Data Lake Gen2, etc. for
📌 Credit Risk Technology (Pune)
🏢 Mizuho
📍 Pune