Senior Engineer I (Observability) - Retail Analytics [Data Modeling & Python]

Senior Engineer I - Observability - Retail Technology Data & Analytics 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. About this team: 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 lululemons business goals. A day in the life: As a Senior Engineer I, you will work as the domain leader for the product(s) your team delivers. You will be counted on as a leader in your technology space, as you contribute to all areas of development and operations (pre-production to production). Senior Engineer Is take production readiness and performance personally and help drive continuous improvement. You will be part of a day-to-day production release team and may perform on-call support functions as needed. You will be considered the technical owner of the production system(s) you work on and focus on how your product(s) are delivered and how to optimize them for efficiency, security, and reliability. Main contributor to product roadmaps and reliability strategy Partner with project management to deliver status and performance updates Lead development of observability initiatives that internal users can understand, and monitor Contribute to the evolution of our analytics infrastructure by identifying opportunities for process improvement and optimization Work closely with data architects to implement data design best practices, ensuring that our data reporting systems align with industry standards and promote scalable and efficient data architecture. Conduct research to support product development decisions, aiding in the selection of tools that optimize our reporting capabilities Provide an escalation point and participate in on-call support rotations Actively monitor key metrics, reports on trends, and make improvement recommendations Provide mentorship for the Engineering team and create opportunities for their continued development Actively participate in knowledge-sharing sessions within the team to foster a collaborative learning environment Qualifications: Completed Bachelors 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 Five or more years of engineering experience Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud / IT technology space Experience with cloud-based data technologies for development and deployment, preferably Snowflake and Azure- 5 Strong knowledge of data structure principles and best practices Excellent SQL skills, demonstrated through the creation of efficient data models Proficient in utilizing data modeling tools for efficient structuring and organization of data (e.g., dbt / Fivetran) Highly proficient in querying large and complex datasets using Python, R, and SQL (5 Years) Strong scripting skills in languages like Python and R, with a focus on automation Proficient in Git and version control systems, ensuring collaborative and streamlined development processes Demonstrated experience in implementing and optimizing Continuous Integration and Continuous Deployment (CI/CD) processes- 3 Extensive experience in developing solutions for industries dealing with substantial data volumes, such as retail, eCommerce, manufacturing, logistics, supply chain, corporate shared services, or any other sector facing complex data challenges Ability to translate business questions into intuitive visualizations that facilitate a deeper understanding and drive actionable insights Proactive attitude towards adapting and learning new tools and technologies in the evolving analytics landscape

Location: bangalore, IN

Posted Date: 11/22/2024