Snowflake Developer

Mizuho; Pune District; On-site; INR 2,800,000 - 5,400,000; Full time

Job summary

Mizuho Pune is seeking an experienced AVP/Associate-level Cloud Data Engineer to build scalable cloud-based data solutions for Front Office IT. You will work with Snowflake, Azure services, and SQL/PLSQL to design ETL pipelines and automate data workflows.

The role focuses on developing scalable data platforms, monitoring production pipelines, and collaborating with cross-functional teams to deliver robust data solutions in a banking environment.

Qualifications

• Bachelor’s degree in computer science, engineering, information systems, or related field.
• 5-12+ years of data engineering experience in financial services or enterprise data environments.
• Strong hands-on experience with Snowflake, Azure Data Factory, PL/SQL, ETL, SSIS, PowerShell and Shell scripting.
• Advanced SQL and Python skills.
• Experience with enterprise batch processing and scheduling.
• Strong understanding of data processing, ETL architecture and database concepts.

Responsibilities

• Design and develop scalable data engineering and ETL solutions using Snowflake and Azure.
• Develop complex SQL and PL/SQL queries, procedures and data transformation logic.
• Build and maintain ETL pipelines using Azure Data Factory (ADF) and Python.
• Develop automation using Shell scripting and Python.
• Good knowledge of Azure cloud technologies like ADF, Key Vault, Storage, Log Analytics, and Azure Entra.
• Develop and maintain enterprise scheduling workflows using Tidal/Autosys.
• Monitor production pipelines, troubleshoot failures and perform root-cause analysis.

Skills

Data engineering

SQL

Python

ETL

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake

Azure Data Factory

PL/SQL

SSIS

PowerShell

Shell scripting

Autosys

Tidal

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

The Banking IT team within the Front Office Technology is responsible for technology platforms, applications, support, and development aligned with the needs of the Investment Banking function while maintaining operational excellence, regulatory compliance, and strategic partnership with the broader IT organization.

Summary:

We are looking for an experienced AVP/Associate-level Cloud Data Engineer with strong expertise in Snowflake, SQL, PL/SQL, ETL and Python, combined with hands-on experience with Microsoft Azure data services. The role will focus on building scalable cloud-based data solutions, ETL pipelines and automation capabilities for Front Office IT.

Responsibilities:

• Design and develop scalable data engineering and ETL solutions using Snowflake and Azure.
• Develop complex SQL and PL/SQL queries, procedures and data transformation logic.
• Build and maintain ETL pipelines using Azure Data Factory (ADF) and Python.
• Develop automation using Shell scripting and Python.
• Good Knowledge of Azure Cloud technologies like ADF, Key Vault, Storage Account, Log Analytics, Azure Entra.
• Develop and maintain enterprise scheduling workflows using Tidal/Autosys.
• Monitor production pipelines, troubleshoot failures and perform root-cause analysis.
• Optimize Snowflake queries, ETL processes and data pipelines for performance and cost efficiency.
• Implement data quality, validation and reconciliation processes.
• Support production deployments, incident management and technical documentation.
• Work with application, infrastructure and business teams to understand requirements and deliver technical solutions.
• Follow enterprise standards for coding, documentation, testing, security and change management.

Qualifications:

• 5-12+ years of experience in data engineering within financial services or enterprise data environments.
• Must be legally authorized to work in India without employer sponsorship.
• Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
• Strong hands-on experience with Snowflake, Azure Data Factory, PL/SQL, ETL, SSIS, PowerShell and Shell scripting.
• Advanced SQL and Python skills.
• Experience with enterprise batch processing and scheduling.
• Strong understanding of data processing, ETL architecture and database concepts.
• Strong problem-solving and analytical skills.
• Strong communication and stakeholder-management 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.