Snowflake Data Engineer

Wipro; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Wipro Limited in Bengaluru invites applications for the role of Snowflake Data Engineer, leading design of scalable cloud data solutions and end-to-end pipelines. You will work with analytics, engineering, governance teams to transform diverse data sources into accessible data products for analytics and BI.

This position emphasizes data security, automated testing, and collaboration within Agile teams, with responsibilities spanning data modeling, performance tuning, and documentation to support

Qualifications

• Bachelor’s degree in CS/Eng/IT or equivalent hands-on experience.
• 5+ years of data engineering experience with cloud data platforms, especially Snowflake.
• Proficiency in Snowflake features: Snowpipe, Streams & Tasks, Time Travel, zero-copy cloning, semi-structured data handling.
• SQL and Python scripting for data manipulation and automation.
• Experience deploying ELT pipelines with dbt, Airflow, or Azure Data Factory.
• Familiarity with Git-based CI/CD, automated testing, and deployment automation.
• Strong data modeling, metadata, quality and governance knowledge.
• Excellent problem-solving and stakeholder management skills.

Responsibilities

• Design, develop, and optimize end-to-end data pipelines and ELT processes on Snowflake.
• Build robust data models: dimensional, normalized, and Data Vault.
• Use SQL, Python, and orchestration tools to create scalable data workflows; implement tests and monitoring.
• Configure Snowflake warehouses, clustering keys, monitors, and query profiles for performance and cost control.
• Enforce data security with RBAC, masking, secure views, and data-sharing compliant with governance.

Skills

SQL

Python

Snowflake

ETL

Data Modeling

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

Snowflake

dbt

Airflow

Azure Data Factory

Job description

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.

Job Description

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 operations, Time Travel, zero-copy cloning, and semi-structured data handling (such as JSON, Avro, Parquet).
• Proficiency in SQL and Python scripting for complex data manipulation, automation, and workflow orchestration.
• Experience deploying ELT pipelines using modern orchestration tools like dbt, Apache Airflow, or Azure Data Factory.
• Familiarity with DevOps practices including version control with Git, CI/CD pipelines, automated testing, and deployment automation.
• Strong understanding of data modeling techniques, metadata management, data quality and governance frameworks.
• Exceptional problem‑solving skills combined with the ability to manage diverse stakeholder relationships effectively.

Preferred Qualifications

• Certifications such as SnowPro Core & Advanced or relevant cloud/platform certifications (AWS, Azure, GCP).
• Experience with additional data technologies and platforms including Kafka, Fivetran, Power BI, Tableau, or Snowpark development.
• Knowledge of emerging architectural paradigms like data mesh, lakehouse, and experience with infrastructure as code and DevOps methodologies.
• Prior exposure to managing enterprise-grade, globally distributed data operations with regulated data requirements.

Solution Design

As a Snowflake Data Engineer at Wipro Technologies, you will spearhead the design of scalable cloud data solutions tailored to client-specific business scenarios. You will facilitate technical design workshops and collaborate closely with project managers and technical architects to ensure solution alignment with enterprise architecture roadmaps and business objectives. Your role includes analyzing complex data integration challenges and architecting modular, reusable components that balance performance and maintainability.

Coding, Configuration & Implementation

You will ensure high-quality code delivery by reviewing implementations thoroughly, resolving technical challenges within the engineering team, and establishing consistent data replication and transformation patterns compliant with project standards. Throughout the software development lifecycle, you will work with project managers and agile teams to ensure seamless integration, staging, and deployment of data solutions. Your role extends to implementing automated pipelines, validating configurations, and driving adoption through comprehensive user documentation and training materials designed to minimize operational risks and facilitate smooth transitions during deployments.

Additionally, you will proactively conduct root-cause analysis for recurring issues, optimize system performance, and recommend refinements to accelerate response times and enhance data reliability.

Competencies and Skills

• Technical Expertise: Advanced proficiency in Snowflake data engineering, including architecture, ELT design, query optimization, and cloud integration.
• Communication: Clear, effective communication skills to engage diverse stakeholders, articulate complex technical concepts, and collaborate across multidisciplinary teams.
• Collaborative Working: Ability to foster a cooperative environment, working inclusively with peers, product owners, and business units.
• Passion for Results: Drive to deliver high-impact, quality solutions within defined timelines and budget, balancing innovation with practicality.
• Client Centricity: Focus on understanding client needs and delivering tailored solutions that drive business value.
• Learning Agility: Adaptability and eagerness to embrace emerging technologies, best practices, and evolving industry standards.
• Problem Solving & Decision Making: Analytical mindset to identify root causes of issues promptly and make informed, effective decisions.
• Execution Excellence: Commitment to rigorous implementation, testing, and continuous improvement to uphold operational excellence.

Mandatory Skills: Snowflake Data Engineering.Experience: 5-8 Years.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.