Data Engineering Leader

1 day ago

Belgaum, Karnataka, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Senior Data Engineer for Analytics

We are seeking a highly skilled Senior Full Stack Software Development Engineer to join our team and contribute to the development of cutting-edge software and data infrastructure.

This is a hands-on role focused on building solutions by combining Python-based full stack development with scalable, modern data engineering.

You will be part of a team responsible for the development of dynamic web applications, scalable data pipelines, and high-performance backend services that drive better decision-making across industries.

  • Design and build full stack applications using Python, Streamlit, and modern web frameworks to power internal tools, analytics dashboards, and customer-facing products.
  • 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.
  • Define and evolve our data strategy and architecture, including schemas, governance, versioning, and access patterns across business units and use cases.

You will report directly to the CEO, a transportation expert with extensive experience in trucking. You will also work closely with the Head of Product, who has a strong background in building and commercializing digital platforms.

We value intelligence, curiosity, humility, clean code, measurable impact, clear thinking, hard work, and a focus on delivering results. If you're excited by real-world impact, data-driven decision making, and being part of a company where you'll see your work shape the product and the business, this is your kind of team.

We believe in an Agile approach to software engineering, backed by a structured CI/CD process, professional engineering practices, clean architecture, clean code, and testing.

Our technology stack includes AWS Cloud, MySQL, Snowflake, Python, SQLAlchemy, Pandas, Streamlit, and AGGrid to accelerate development of web visualization and interfaces.

About Us

We are a self-funded seed stage venture validating our key data science breakthroughs with customer data and our MVP product launch to confirm product-market fit. We plan to scale our Data Science-as-a-Service platform and bring our vision to market at scale.

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