Data Engineer

Mizuho; Pune District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Mizuho Pune is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and modern data platforms for analytics and BI.

The role emphasizes Databricks, Snowflake, Data Lake/Lakehouse architectures, and Azure cloud-native practices, with a focus on governance, reliability, and performance across enterprise ecosystems.

Qualifications

• 3-8 years of data engineering experience in enterprise platforms.
• Hands-on with Databricks, Snowflake, and Data Lake/Lakehouse architectures.
• Proficient in SQL, Python, and ETL/ELT pipelines on Azure.

Responsibilities

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Build Data Lake/Lakehouse solutions on cloud platforms.
• Develop ingestion and transformation workflows using Databricks, Spark.
• Design and optimize data models, schemas, and storage structures.
• Implement ETL/ELT processes across multiple source systems.

Skills

Databricks

Snowflake

Data Lake

Lakehouse

SQL

Python

ETL/ELT

Azure

Airflow

DataOps

DevOps

Spark

Azure Data Factory

Tools

Spark

Azure Data Factory

Job description

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 modern 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 integrate data from multiple source systems including databases, APIs, flat files, and streaming platforms.
• Develop robust frameworks for data quality, reconciliation, validation, lineage, and monitoring.
• Collaborate with business, analytics, and reporting teams to understand data requirements and deliver curated, trusted datasets.
• Improve pipeline reliability, scalability, and performance through tuning, partitioning, clustering, and workload optimization.
• Support Data Lake governance, metadata management, access controls, and security standards.
• Drive adoption of engineering best practices including CI/CD, version control, code review, automated testing, and deployment automation.
• Troubleshoot production issues, perform root cause analysis, and implement preventive solutions.
• Work closely with architects, data scientists, BI developers, and platform teams to enable enterprise data initiatives.

Required Skills & Qualifications:

• 3-8 years of strong experience in Data Engineering and enterprise data platform development.
• Hands-on expertise with:
• Databricks
• Snowflake
• Data Lake / Lakehouse Architecture
• SQL
• Python
• Strong experience building and managing ETL/ELT pipelines.
• Experience with cloud data platform Azure.
• Knowledge of data storage patterns including:
• Partitioning and clustering strategies
• Experience with file and data formats such as Parquet, Avro, ORC, JSON, CSV.
• Solid understanding of data warehousing concepts, metadata, lineage, cataloging, and governance.
• Experience with orchestration and scheduling tools such as Airflow, Azure Data Factory, or similar.
• Familiarity with DevOps / DataOps practices, Git-based version control, and CI/CD pipelines.
• Understanding of data security, encryption, masking, and access control in enterprise environments.
• Deep domain knowledge in:
• Investment Banking
• KYC / Client Onboarding
• AML & Sanctions Compliance
• Hands-on experience in Agile / Scrum delivery models
• Strong analytical, communication, and problem-solving skills

Company Overview:

Mizuho Pune is an integral part of Mizuho Financial Group, one of the world’s leading financial institutions with a strong global presence across the Americas, EMEA, and Asia. Based in India, Mizuho Pune supports Mizuho’s international businesses by delivering high-quality, scalable, and resilient services across multiple functions.

Mizuho Pune plays a critical role in driving operational excellence, standardization, and innovation for Mizuho Americas. By combining deep domain expertise with strong process, technology, and analytical capabilities, it partners closely with regional and global teams to support corporate and investment banking, capital markets, and corporate services functions, while adhering to the highest standards of risk management, regulatory compliance, and control.

Mizuho Pune offers competitive compensation and benefits package aligned with industry standards and local market practices.

Mizuho Pune is an equal opportunity employer and is committed to fostering an inclusive and diverse workplace.

Employment is subject to applicable background verification checks in accordance with Indian laws and company policies.