Engineer II - Data Engineering [T500-20333]

About lululemon :

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative products, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. As we continue to elevate our shopping experience, our India Tech Hub plays a key role in expanding our technology capabilities in Product Systems, Merchandising and Planning, Digital Presence, distribution and logistics, and corporate systems. Our team in India works as an extension of the global team on projects of strategic importance.

Engineer I / II - Data Engineer

About this team :

This role is on Global Supply Chain Technology team in the lululemon technology organization. lululemon Engineering is dedicated to building secure, reliable, and performant products for our guests and partners. We embrace the philosophies of Agile, DevOps, and SRE to accelerate our development process and provide the most enjoyable, inclusive, and supportive work environment possible. We believe our journey is more fun when it is collaborative, as we focus on the future instead of the past. As an Engineer, you will work as part of a global team supported by our business and architecture partners to help us collaboratively develop and deliver industry leading technology solutions that drive lululemon’s business goals.

Core Responsibilities :

As an Engineer II, you will help form the core of our engineering practice at lululemon by contributing to all areas of development and operations (pre-production to production). You will be supported by a strong engineering group, and established engineering practices. You will be part of a production release team and may perform on-call support functions as needed. Having a DevOps mindset is the key to success in this role, as Engineers are commonly part of full DevOps teams that “own” all parts of software development, release pipelines, production monitoring, security and support.

Take part in Agile ceremonies

Perform engineering assignments using existing procedures and best practices

Conduct research to aid in product troubleshooting and optimization efforts

Work closely with global teams to ensure deliver effective technical solutions

Provide an escalation point and participate in on-call support rotations

Actively monitor key metrics and report on trends

Participate in our Engineering Community of Practice

Contribute to engineering automation, management or development of production level systems

Perform reliability monitoring and support as needed to ensure products meet guest expectations

Qualifications :

Completed bachelor's degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible

7-9 years of data engineering experience for Engineer II

Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud / IT technology space?

Hands on experience with CI / CD principals and best practices

Good knowledge and working experience in Agile methodology and familiar with tools like Jira and Confluence

Must-Have Skills :

Manage secure, cost-optimized AWS cloud solutions leveraging native services.

Build and maintain high-throughput event streaming pipelines using Apache Kafka / IBM MQ / AWS SQS .

Develop automation scripts, data processing pipelines, and backend services in Python .

Create interactive dashboards and reports in Power BI to deliver actionable business insights.

Design and optimize data models, ETL processes, and analytics workflows in Snowflake .

Develop and integrate AI / ML models into production systems for predictive analytics and automation.

Good-to-Have Skills :

Design, develop, and optimize enterprise-grade Java applications with a focus on performance and scalability.