Engineer II - Data Engineering [T500-20333]

lululemon

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

A leading performance apparel company located in Bengaluru is seeking a mid-senior level Engineer II to join their Global Supply Chain Technology team. The ideal candidate will have 7-9 years of data engineering experience and expertise in technologies such as Apache Kafka and Python. Responsibilities include participating in Agile ceremonies, conducting research for troubleshooting, and contributing to engineering best practices in a collaborative environment. This full-time role offers a chance to impact product development and operations significantly.

Qualifications

7-9 years of data engineering experience required.
Hands-on experience with CI/CD principles necessary.
Ability to work with emerging technologies in Cloud/IT.

Responsibilities

Participate in Agile ceremonies.
Conduct research for product troubleshooting.
Monitor key metrics and report on trends.

Skills

Apache Kafka

IBM MQ

AWS SQS

Python

Power BI

Snowflake

Agile methodology

Education

Bachelor’s degree in Computer Science or related field

Relevant diploma

Tools

Jira

Confluence

Job description

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Who we are

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.

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.

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.

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 in Computer Science, Software Engineering or Software Architecture; substantial relevant experience also eligible
7-9 years of data engineering experience for Engineer II
Ability to learn, understand, and work quickly with emerging technologies, methodologies, and solutions in the Cloud/IT technology space
Hands‑on experience with CI/CD principles and best practices
Good knowledge and working experience in Agile methodology and familiar with tools like Jira and Confluence

Must-Have Skills

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