Ecommerce Data Innovation Specialist

4 days ago

Delhi, Delhi, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 15,40,000

Driven to innovate and shape the future of e-commerce, we are seeking a skilled Data Engineer to join our forward-thinking team. As a key member, you will play a pivotal role in developing tailored solutions for companies leveraging cutting-edge agentic AI, LLMs, and optimization tools.

About the Role

This is an exceptional opportunity to support infrastructure, data pipeline development, and deployment of pricing logic for a data-rich e-commerce platform serving the life sciences sector. The successful candidate will emphasize usability and interface design for internal tools that enable experimentation, pricing configuration, and real-time monitoring.

Key Responsibilities:
  • Design, build, and maintain ETL pipelines for pricing, shipping, and behavioral datasets to ensure seamless data flow.
  • Collaborate with data scientists and product managers to support model development and experimentation, driving business growth through data-driven insights.
  • Develop APIs or backend logic to implement dynamic pricing algorithms, staying at the forefront of e-commerce innovation.
  • Create internal dashboards or tools with a focus on usability and performance, empowering teams to make informed decisions.
  • Ensure data quality, reliability, and documentation across systems, maintaining high standards of excellence.
  • Perform feature engineering to feed predictive and optimization algorithms, optimizing business outcomes.
  • Aggregate and transform high-dimensional datasets at scale to ensure modeling efficiency and robustness, staying ahead of the curve.
  • Optimize algorithm performance for real-time and large-scale deployment, meeting the demands of a rapidly evolving market.
Requirements:
  • Able to thrive in fast-paced environments, with flexibility to adapt to changing needs.
  • Strong hands-on experience with Databricks and distributed data processing frameworks.
  • Expertise in Python and SQL, with cloud-based platforms (e.g., AWS, BigQuery, Snowflake) being a must.
  • 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.
  • MLOps experience is highly valued, as is domain knowledge in e-commerce, particularly in the pharmaceutical or scientific supply sector.

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