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Advanced Data Scientist for Retail Transformation

1 month ago

Bengaluru, Karnataka, India Luxoft Full time

Luxoft is in the middle of a significant transformation, aiming to become a leading technology company in retail. As part of this journey, we're seeking an experienced Big Data Developer to join our team.

The ideal candidate will have a strong background in engineering and be passionate about working with large data sets to address business challenges. This role involves developing and maintaining architectures, aligning them with business requirements, and ensuring data reliability, efficiency, and quality.

In this position, you'll work closely with experts from various departments to develop modern, high-loaded applications in a cloud environment. Our teams use Agile methodologies and event-based Microservices architecture.

We're looking for a smart individual who can lead a self-managed team, accept challenges, and take an active role in their resolution. The successful candidate will manage the product from idea to delivery, ensuring quality results are brought to the business.

Key Responsibilities:

  • Develop, construct, test, and maintain architectures
  • Align architecture with business requirements
  • Data acquisition and development of data set processes
  • Use programming languages and tools (Spark, Scala, Kafka, Hive, Hadoop)
  • Identify ways to improve data reliability, efficiency, and quality
  • Conduct research for industry and business questions
  • Deploy sophisticated analytics programs, machine learning, and statistical methods
  • Prepare data for predictive and prescriptive modeling
  • Find hidden patterns using data
  • Deliver updates to stakeholders based on analytics

Mandatory Skills:

  • Experience with Spark, Scala, Kafka, Hive, and Hadoop

Nice-to-Have Skills:

  • Working in an Agile environment
  • Closely collaborating with various departments
  • Azure Cloud tools experience is a plus

We offer a competitive salary range of $100,000 - $140,000 per year, depending on experience, and opportunities for growth and professional development. If you're passionate about big data and retail transformation, we encourage you to apply.