Pricing Logic Developer

4 days ago

Hubli, Karnataka, India beBeeDataEngineer Full time US$ 1,20,000 - US$ 1,50,000

Job Overview: A recent MIT graduate-led startup is looking for talented professionals to build tailored solutions leveraging the latest developments in agentic AI, LLMs, and optimization tools.

We are seeking 2 Data Engineers to support infrastructure, data pipeline development, and deployment of pricing logic for a data-rich e-commerce platform serving the life sciences sector. This role emphasizes usability and interface design for internal tools enabling experimentation, pricing configuration, and real-time monitoring.

Key Responsibilities:

  • Build and maintain ETL pipelines for pricing, shipping, and behavioral datasets
  • Collaborate with data scientists and product managers to support model development and experimentation
  • Develop APIs or backend logic to implement dynamic pricing algorithms
  • Create internal dashboards or tools with a focus on usability and performance
  • Ensure data quality, reliability, and documentation across systems
  • Perform feature engineering to feed predictive and optimization algorithms
  • Aggregate and transform high-dimensional datasets at scale to ensure modeling efficiency and robustness
  • Optimize algorithm performance for real-time and large-scale deployment

Requirements:

  • Flexibility in working with young, startup-like environments
  • Ability to onboard immediately
  • 3+ years of experience in data engineering or backend development
  • Strong hands-on experience with Databricks and distributed data processing frameworks
  • Strong Python and SQL expertise; experience with cloud-based platforms (e.g., AWS, BigQuery, Snowflake)
  • Demonstrated ability to design and develop user-friendly internal tools or interfaces
  • Familiarity with experimentation systems and monitoring infrastructure
  • Experience handling large-scale, high-dimensional datasets efficiently
  • Experience with MLOps is preferred
  • Domain experience in e-commerce is preferred; knowledge of the pharmaceutical or scientific supply sector is a strong advantage

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