Lead Data Engineer - Big Data

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Job Title: Lead Data Engineer - Big Data

City: Mississauga

State/Province: Ontario

Posting Start Date: 6/22/26

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.

Job Description:

Job Description

Role Overview

We are seeking an experienced Data Engineer with strong expertise in large-scale data processing and cloud-based application development. The role requires deep hands-on technical skills, a strong understanding of end-to-end data solutions, and the ability to collaborate across teams to deliver scalable and high-performance systems.

Experience Requirements

8+ years of experience in software development, preferably in distributed data systems or large-scale applications

Minimum 5+ years of hands-on experience in designing and developing Big Data solutions

At least one end-to-end Big Data implementation experience

Key Responsibilities

Design, develop, and maintain scalable Big Data pipelines and data processing systems

Build distributed data processing applications using modern frameworks

Develop backend services and APIs for data platforms

Optimize performance and troubleshoot issues in large-scale data systems

Work closely with cross-functional teams to deliver end-to-end solutions

Ensure data quality, scalability, and reliability of data pipelines

Technical Skills

Processing & Compute

Strong hands-on experience with Apache Spark (mandatory)

Experience with Hadoop ecosystem including HDFS, Hive, Impala, HBase

Programming

Proficiency in Java / Scala / Python

Data & Query

Strong expertise in SQL (query building, debugging, optimization)

Data Formats

Experience working with XML, JSON, Parquet, Avro, Protobuf

Application Development

Experience in Spring Boot / Microservices architecture

Strong experience in backend development and API design

Messaging & Streaming

Hands-on experience with Apache Kafka for real-time data pipelines

AI & Productivity Tools

Ability to leverage tools such as GitHub Copilot, ChatGPT, or similar to enhance development efficiency, code quality, and debugging

Nice-to-Have Skills

Experience with Databricks Lakehouse Platform including:

Delta Lake

Databricks Workflows

Unity Catalog

MLflow

Soft Skills

Strong analytical and troubleshooting capabilities

Ability to work under pressure in a fast-paced environment

Strong multitasking and prioritization skills

High learning agility and proactive mindset

Adaptable, flexible, and energetic approach to problem-solving

Mandatory Skills: Big Data .

Experience: 8-10 Years .

The expected compensation for this role ranges from CAD 100000 to CAD 150000 .

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.

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.

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