Data Engineer (Pune)

Data Engineer (Pune)

08 Oct
|
Mizuho
|
Pune

08 Oct

Mizuho

Pune

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 share the same ambition and drive, you can amplify your sphere of influence and base of knowledge as part of one of the largest banks in the world.

About the Team:

Regulatory & Compliance Technology function is part of Corporate Services Technology group and focused on delivering strategic platforms and solutions across Regulatory Reporting and Compliance domain, including U.S. Regulatory Reporting, KYC, AML, Sanctions, Transactions Screening etc.

Role Summary:

We are seeking a highly skilled Data Engineer to design, build, and optimize scalable data pipelines and modern data platforms that support analytics, reporting,



and business intelligence initiatives. The ideal candidate will have strong experience in Databricks, Snowflake, Data Lake architecture, ETL/ELT frameworks, RDBMS and Azure Cloud-native data engineering practices. This role requires hands-on expertise in ingesting, transforming, storing, and delivering high-quality data across enterprise ecosystems, while ensuring scalability, performance, governance, and reliability.

Key Responsibilities:

• Design, develop, and maintain scalable batch and real-time data pipelines for structured and unstructured data.
• Build and manage enterprise-grade Data Lake / Lakehouse solutions using up-to-date cloud-based platforms.
• Develop data ingestion and transformation workflows using Databricks, Spark, and related big data technologies.
• Design and optimize data models, schemas, and storage structures leveraging Databricks / Snowflake.
• Implement ETL/ELT processes to

📌 Data Engineer (Pune)
🏢 Mizuho
📍 Pune

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