Senior Full Stack Software Engineer with Data Engineering Experience

2 days ago

Vadodara, Gujarat, India beBeeSoftware Full time US$ 1,20,000 - US$ 1,60,000

Unlock the power of data-driven decision making with our cutting-edge software development role.

This is a true full stack position where you'll design and build software systems, user interfaces, and data infrastructure to power analytics, data science, and decision support platforms. As a Senior Full Stack SDE with Data Engineering for Analytics, you will be responsible for architecting and implementing scalable data pipelines, high-performance backend services, and intuitive business-facing applications using Python, Streamlit, Snowflake, and modern DevOps practices.

We're seeking an experienced software engineer who can work across frontend, backend, and data layers to help us build a robust and extensible system that supports complex machine learning models, large-scale data processing, and dynamic web applications. If you have a passion for transportation and logistics, and want to apply your technical expertise to make a real-world impact, this could be the perfect opportunity for you.

Key Responsibilities:

  • Design and build full stack applications using Python, Streamlit, and modern web frameworks.
  • Develop scalable data pipelines to ingest, clean, transform, and serve data from diverse sources into Snowflake and other cloud-native databases.
  • Implement low-latency, high-availability backend services to support data science, decision intelligence, and interactive visualizations.
  • Integrate front-end components with backend systems and ensure seamless interaction between UI, APIs, and data layers.
  • Collaborate with data scientists / ML engineers to deploy models, support experimentation, and enable rapid iteration on analytics use cases.

Requirements:

  • 5+ years of professional software development experience, with a proven track record of building enterprise-grade, production-ready software applications for businesses or consumers.
  • Required technology experience with the following technologies in a business context:
    • Python as primary programming language
    • Pandas, Numpy, SQL
    • AWS and/or GCP cloud configuration / deployment
    • Git / GitHub
    • Snowflake, and/or Redshift or Big Query
    • Docker
    • Airflow, Prefect or other DAG orchestration technology
    • Front end engineering (e.g., HTML/CSS, JavaScript, and component-based frameworks)
  • Hands-on experience with modern front-end technologies — HTML/CSS, JavaScript, and component-based frameworks (e.g., Streamlit, React, or similar).
  • Experience designing and managing scalable data pipelines, data processing jobs, and ETL/ELT
  • Experience in defining Data Architecture and Date Engineering Architecture, including robust pipelines, and building and using cloud services (AWS and/or GCP)

Bonus Points:

  • Desired technology experience with the following technologies in a business context:
    • Snowflake
    • Streamlit
    • Folium, Plotly, AG Grid
    • Kubernetes
    • Javascript, CSS
    • Flask, Fast API and SQLAlchemy
  • Exposure to machine learning workflows and collaboration with data scientists or MLOps teams.
  • Experience building or scaling analytics tools, business intelligence systems, or SaaS data products.

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