Chief Data Architect

2 weeks ago

Shimoga, Karnataka, India beBeeDataEngineer Full time ₹ 18,66,240 - ₹ 2,59,20,000
Job Opportunity

We are seeking a highly skilled and experienced Data Engineer to join our team. As a key member of our organization, you will play a vital role in developing tailored solutions for companies leveraging the latest developments in agentic AI, LLMs, and optimization tools.

Key Responsibilities:

  • Build and maintain ETL pipelines for pricing, shipping, and behavioral datasets, ensuring seamless integration with our e-commerce platform.
  • 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, optimizing revenue streams and customer experiences.
  • Create internal dashboards or tools with a focus on usability and performance, empowering our teams to make data-informed decisions.
  • Ensure data quality, reliability, and documentation across systems, maintaining the highest standards of data governance.
  • Perform feature engineering to feed predictive and optimization algorithms, unlocking new opportunities for business growth.
  • Aggregate and transform high-dimensional datasets at scale to ensure modeling efficiency and robustness, supporting our mission to deliver exceptional results.

Requirements:

  • Flexibility in working with young, startup-like environments, embracing innovation and adaptability.
  • Ability to onboard immediately, hitting the ground running and contributing to our team's success.
  • 3+ years of experience in data engineering or backend development, with a strong foundation in Databricks and distributed data processing frameworks.
  • Strong Python and SQL expertise, with experience working with cloud-based platforms such as AWS, BigQuery, and Snowflake.
  • Demonstrated ability to design and develop user-friendly internal tools or interfaces, prioritizing usability and performance.
  • Familiarity with experimentation systems and monitoring infrastructure, ensuring seamless tracking and analysis.
  • Experience handling large-scale, high-dimensional datasets efficiently, delivering results under tight deadlines.
  • Experience with MLOps is preferred, with knowledge of machine learning operations and deployment best practices.
  • Domain experience in e-commerce is preferred, with a strong understanding of the pharmaceutical or scientific supply sector.

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