Analytics Data Engineer

2 days ago

Bharatpur, Rajasthan, India beBeeData Full time ₹ 40,00,000 - ₹ 50,00,000

Job seekers with a passion for data engineering and analytics will find this opportunity exciting. We are looking for a Senior Full Stack Software Development Engineer (SDE) to join our team.

About the Role

This is a hands-on role focused on building solutions by combining Python-based full stack development with scalable, modern data engineering. The successful candidate will be responsible for designing and building software systems, user interfaces, and data infrastructure that power our analytics, data science, and decision support platform.

  • 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.
Key Responsibilities and Goals

The ideal candidate will have a strong background in data engineering, experience with modern data technologies, and excellent problem-solving skills. They will be able to work independently and collaboratively as part of a team.

  • Define and evolve our data strategy and architecture, including schemas, governance, versioning, and access patterns across business units and use cases.
  • Implement DevOps best practices, including testing, CI/CD automation, and observability, to improve reliability and reduce technical debt.
  • Ensure data integrity and privacy through validation, error handling, and secure design.
What You'll Need

To succeed in this role, you will need:

  • A strong background in computer science or a related field.
  • Experience with Python, Streamlit, and modern web frameworks.
  • Knowledge of data engineering concepts and principles.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and collaboratively as part of a team.

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