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Senior Engineer I

4 months ago

Bengaluru, India lululemon India Tech Hub Full time

Senior Engineer I / Engineer II

Region: India

State: Karnataka

City: Bangalore

Description & Requirements:

Who We Are ?

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 feeland performtheir best. To us, leadership is more than a role or titleits a way of being.

About the India Tech Hub:

With an increasingly connected world, the rise of athleisure as a lifestyle, and growing e-commerce services, the India Tech Hub will play a vital role in strengthening our capabilities and reach to an even wider audience. Together, were co-creating a future that otherwise wouldnt exist. To do that, were looking for people who unite diverse perspectives to lean into bold visions. Who strive to be better than they were yesterday. Who are all in, in everything they do ?

About the team:

The opportunity is for a role in Design & Development space in the Global Product Technology team. 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.

At all levels, we demonstrate leadership by supporting the growth and development of the team as a whole and individually.

At the core of our product is innovation. Planning functions are critical in understanding our guest, market, demand, and driving decisions on product placement.

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. Our work directly contributes to the success and growth of store planners, visual merchandising and retail teams.

Who You Are ?

The ideal candidate performs the development of high-performing, well-tested, and thoughtfully architected software applications that satisfy our internal business needs & power guest experiences; Has proven experience in effectively applying scientific, mathematical, and social principles to design, build, & maintain technology products, devices, systems, and solutions that provide amazing customer experiences.

A Day in the Life ?

  • Work closely with Engineers and Solution Architects to support and drive solution implementations.
  • Uses algorithms, data structures, programming languages, programming paradigms to create, test, and operate sustainable client-side or server-side software applications and services.
  • Builds and extends applications in cloud, hybrid cloud and / or on premise environments.
  • Ensures applications are designed to be highly available, observable, and durable via software engineering best practices.
  • Support Production issues & Prepare system for Peak performance scaling.
  • Works with business and systems analysts to understand end-user requirements and translate those into pragmatic & effective technical solutions.
  • 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

Must Haves:

  • Acknowledges the presence of choice in every moment and takes personal responsibility for their life.
  • Possesses an entrepreneurial spirit and continuously innovates to achieve great results.
  • Communicates with honesty and kindness and creates space for others to do the same.
  • Leads with courage, knowing the possibility of greatness is bigger than the fear of failure.
  • Fosters connection by putting people first and building trusting relationships.
  • Integrates fun and joy as a way of being and working, aka doesnt take themselves too seriously.

Qualifications:

  • Bachelors degree in computer science / engineering or equivalent.
  • 8-12+ years experience in Data-Engineering Tech-Stack
  • 8-12+ years experience with cloud technologies AWS
  • Python, Py-Spark as middle tier coding technology, Your proficiency inPython ,SQL , andPyspark should be impressive.
  • Expertise in developing and managing data pipelines, ML models, and workflows withinDatabricks
  • Working experience with Big-data, PostgreSQL, ETL, Data Integration Services (Airflow, Glue, AWS services), Data Science (preferable)
  • Experience in building data pipelines usingpandas is essential for data preparation and transformation.
  • UsingMLflow in at least one end-to-end project demonstrates your commitment to MLOps (Machine Learning Operations). Familiarity with Git-based tools (preferablyGitlab ) ensure efficient collaboration.
  • Experience with data warehousing solutions likeSnowflake andRedshift 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.
  • Familiar with: Eclipse, Jira, Confluence, MS Office, SharePoint, Smartsheet
  • Excellent verbal and written communication skills
  • Support troubleshooting through solid analytical reasoning
  • Experience in Agile methodology.
  • Experience working with high transaction systems.