Senior Backend Developer

2 weeks ago

Vijayawada, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 25,00,000 - ₹ 35,00,000
Job Description

Location: Preferred Bangalore, with alternatives in Mumbai and Kathmandu.

Type: Contract work, with potential for conversion to full-time employment.

Duration: September 2025 to December 2025

Start Date: Immediate

About Us

We are recent graduates from the Massachusetts Institute of Technology (MIT) with expertise in digital transformation and Artificial Intelligence (AI), covering various sectors including consulting, energy, healthcare, technology, and operations.

We are contracting high-skilled individuals to help us execute projects leveraging the latest developments in agentic AI, Large Language Models (LLMs), and optimization tools.

As we develop a pipeline of projects, there is potential for applicants to convert to a full-time role within the company.

Role Summary

We are looking for 2 Data Engineers as soon as possible to support infrastructure, data pipeline development, and deployment of pricing logic for a data-rich e-commerce platform serving the life sciences sector.

Beyond data processing, this role emphasizes usability and interface design for internal tools enabling experimentation, pricing configuration, and real-time monitoring.

Key Responsibilities
  1. Build and maintain Extract, Transform, Load (ETL) pipelines for pricing, shipping, and behavioral datasets.
  2. Collaborate with data scientists and product managers to support model development and experimentation.
  3. Develop APIs or backend logic to implement dynamic pricing algorithms.
  4. Create internal dashboards or tools with a focus on usability and performance.
  5. Ensure data quality, reliability, and documentation across systems.
  6. Perform feature engineering to feed predictive and optimization algorithms.
  7. Aggregate and transform high-dimensional datasets at scale to ensure modeling efficiency and robustness.
  8. Optimize algorithm performance for real-time and large-scale deployment.
Requirements
  1. Flexibility in working with young, startup-like environments.
  2. Ability to onboard immediately.
  3. At least 3 years of experience in data engineering or backend development.
  4. Strong hands-on experience with Databricks and distributed data processing frameworks.
  5. Strong Python and SQL expertise; experience with cloud-based platforms (e.g., AWS, BigQuery, Snowflake).
  6. Demonstrated ability to design and develop user-friendly internal tools or interfaces.
  7. Familiarity with experimentation systems and monitoring infrastructure.
  8. Experience handling large-scale, high-dimensional datasets efficiently.
  9. Experience with Model Operations (MLOps) is preferred.
  10. Domain experience in e-commerce is preferred; knowledge of the pharmaceutical or scientific supply sector is a strong advantage.

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