Agile Transformation Engineer

Engineer II Shape We are proud to be a growing global company with locations all around the world, from Vancouver to Shanghai, and places in between. We owe our success to our innovative product, our emphasis on our stores, our commitment to our people, and the incredible connections we get to make in every community we are in. We work together to elevate the world and we set audacious goals, nurture big growth, and engineer innovative products that allow people to feel—and perform—their best. 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 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. The objective is to align strategic intent with in-store execution and compliance to the global merchandising strategies and brand stories. We support the pre-season/in-season suite of technology solutions while living our vision to be an experiential brand and enhance the guest experience by delivering the right product, at the right place and time. We are responsible for ensuring the success of the team and proactively identify the most high-value deliverables and focus on shipping quality software solutions and other deliverables. By partnering closely with the business partners, project leads, and technical teams we help deliver project scope and ensure stakeholder expectations are met. Our work aims to ensure end to end execution of our merchandising strategies to marry the right product to the right sizes of the boxes. The ideal candidate performs the development of high-performing, well-tested, and thoughtfully architected software applications satisfy our internal business needs &power guest experiences; Has proven experience in effectively applying scientific, mathematical, and social principles design, build, & maintain technology products, devices, systems, and solutions that provide amazing customer experiences. Work closely with Engineers, tech lead and Solution Architects to manage the end-to-end delivery and implementation of design solutions on various tracks / projects Working on establishing best practices in the space of data engineering/ML engineering and adhering to coding practices and quality deliverables Uses algorithms, data structures, programming languages, programming paradigms to create, test, and operate sustainable client-side or server-side software applications and services. Support to Build and extend applications in the hybrid cloud and/or on-premise environments. Ensures application support is designed to be highly available, observable, and durable via software engineering best practices. Support Production issues & Prepare the system for Peak performance scaling. Works closely with onsite and remote frontend, backend and operations engineers to ensure deliverables are well-documented, secure, and resilient. Applies DevOps practices- brings development and IT ops processes, people, and tools closer together to increase the speed, efficiency, and quality with which we deliver technical solutions. Designs for release configuration management. Collaborates with the engineering teams (distributed globally) to deliver on integration projects. Engages in ongoing quality and performance improvement to ensure reliability and security. Mentors and leads engineers with respect to quality engineering practices, effective design principles and help them adhere to global coding standards Fosters connection by putting people first and building trusting relationships. Bachelor’s degree in computer science engineering or equivalent. ~5-8+ years’ experience in Data-Engineering Tech-Stack ~5-8+ years’ experience with cloud technologies AWS ~ Python, Py-Spark as middle tier coding technology, Your proficiency in Python, SQL, and Pyspark should be impressive. ~ Basic understand in developing and managing data pipelines, and workflows within Databricks ~ Working experience with Big-data, PostGreSQL, ETL, Data Integration Services (Airflow, Glue, AWS services), Data Science (preferable) ~ Experience in building data pipelines using pandas is essential for data preparation and transformation. ~ Experience with data warehousing solutions like Snowflake OR Redshift and familiarity with scalable storage and query optimization for large datasets. ~ Strong software development fundamentals including design, coding, automated testing, source control, continuous integration in addition to continuous delivery and/or deployment.? ~ Strong technical, hands-on, experience to support development, infrastructure, and operations. ~ Knowledge of ML frameworks and libraries such as XGBoost, TensorFlow, PyTorch, and Scikit-learn for building predictive models and performing data analysis. ~ Familiarity and understanding of DevOps – CI CD, Strong foundation on quality engineering practices. ~ Ability to work independently with minimal direction, be a self-starter with strong initiative, and ability to manage/execute workload to deliver high quality results. ~ Eclipse, Jira, Confluence, MS Office, SharePoint, Smartsheet ~ Experience in Agile methodology.