Data Engineer - Bengaluru North, India - Decathlon Sports India

Description

About Decathlon Sports India:

Founded in 1976 in France, we have set about making the pleasure and benefit of sports available for everyone across the globe. We do that by providing world-class products both for enthusiastic beginners as well as passionate professionals at extremely affordable prices. At Decathlon, we have a unique advantage that very few sports goods retailers can boast of.

Our team is powered to design, manufacture and sell products that are technically as superior as they are affordable to all. Our designers and engineers partner with sportspersons across the world adding a new dimension to the design process. This coupled with cutting-edge technology and innovation delivers products that are absolute winners.

At Decathlon Sports India, we are looking for young minds who have a passion for sport and are eager to develop data science solutions from the ground up.

About our Team: Our AI team is a dynamic group of people dedicated to leveraging the power of data to drive success across various departments such as E-Commerce, Retail, Logistics, Product, Marketing, User Happiness, Sustainability etc. As a valued member of this team, you will be involved in the entire lifecycle of projects including the scoping of a problem, planning milestones and deliverables, identifying success criteria, and will have complete ownership of execution and delivery, ensuring your contributions span the full spectrum of our data initiatives.

Your Mission, Should You Accept It:

• Create and maintain data pipelines and infrastructure.
• Collaborate with our league of cross-functional heroes to implement data-driven solutions.
• Optimize data models and schemas with precision.
• Safeguard data integrity, security, and compliance, like a champion defender.
• Troubleshoot and fix any blips in the matrix, saving the day with your quick wit.

Desired Qualifications :

• 2 - 5 years of experience in handling data science projects. Only relevant and hands-on experience will be considered.
• Experience in e-Commerce or Retail is a strong plus.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
• Passion for data with strong analytical mindset and focus on drilling data for commercial insight
• Expert level Python knowledge. Ability to use a language like Python to work efficiently at scale with large data sets
• Intermediate or expert expertise with SQL for querying and manipulating data. Experience with any large cloud database and familiarity with distributed computing e.g. leverage Spark for large jobs.
• Good Understanding of Data Lake systems, preferably Databricks (Data Engineering and Delta Lake components)
• Hands-on Orchestration Tools like Apache Airflow.
• Understanding of Software Engineering best practices.
• Proficiency in code management / version control tools such as GIT, DevOps
• Experience working in cloud computing AWS services (S3, Redshift, Aurora, Sagemaker) or GCP.
• Experience in deploying machine-learned models in production environments.
• Experience with Neural Networks / Deep Learning a plus.