Snowflake Data Engineer

About this job

• Job Title: Snowflake Data Engineer
• City: Bengaluru
• State/Province: Karnataka
• Posting Start Date: 10/27/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Role Purpose

Wipro Technologies invites applications for the position of Snowflake Data Engineer, where you will play a pivotal role in shaping robust, scalable cloud data infrastructure. As a key technical leader within the Applied AI & Data service line, you will collaborate cross-functionally with analytics, engineering, architecture, governance, and business teams to architect and maintain data ecosystems that promote data reliability, security, and governance. Your expertise will drive the transformation of disparate data sources into highly optimized, accessible data products tailored for advanced analytics and business intelligence.

We value innovation, efficiency, and a collaborative approach to solve complex data challenges. This role offers an exciting opportunity to contribute significantly to enterprise-scale data solutions while working within an energized team focused on digital transformation and sustainable data excellence.

Key Responsibilities & Qualifications

• Design, develop, and optimize end-to-end data pipelines and ELT processes using Snowflake's platform capabilities to enable seamless ingestion, transformation, and consumption of data.
• Build and maintain robust data models including dimensional, normalized, and Data Vault models that support diverse analytical needs, ensuring flexibility and scalability.
• Leverage SQL, Python, and orchestration tools such as dbt, Airflow, or equivalent to create efficient data workflows, while implementing comprehensive automated testing and monitoring frameworks.
• Configure Snowflake virtual warehouses, clustering keys, resource monitors, and query profiles to maximize performance and cost-effectiveness.
• Implement and maintain strict data security measures including Role-Based Access Control (RBAC), masking policies, secure views, and data-sharing protocols to safeguard sensitive information in compliance with governance standards.
• Troubleshoot complex pipeline issues, data quality inconsistencies, and performance bottlenecks through detailed root-cause analyses and proactive resolution strategies.
• Collaborate with multi-disciplinary teams and stakeholders to translate complex business requirements into practical, scalable data solutions while adhering to Agile methodologies and participating in code reviews and continuous improvement cycles.
• Document technical designs, data lineage, operational procedures, and architecture decisions to support knowledge sharing and ongoing platform governance.
• Monitor usage metrics and provide actionable recommendations to enhance platform reliability, scalability, and cost optimization in dynamic cloud environments.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical discipline, or equivalent hands-on experience.
• Minimum of 5 years’ direct experience in data engineering roles with demonstrated capabilities in cloud-based data platforms, especially Snowflake.
• Proven expertise with Snowflake features including data ingestion with Snowpipe, Streams & Tasks for continuous data…