Senior Full Stack Data Engineer for Analytics

2 days ago

Kurnool, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking a highly skilled and experienced Senior Full Stack Software Engineer to join our analytics and data science team. As a key member of our team, you will play a crucial role in designing and building software systems, user interfaces, and data infrastructure that power our analytics platform.

This is a true full stack opportunity where you will work across frontend, backend, and data layers using Python, Streamlit, Snowflake, and modern DevOps practices. You will collaborate with cross-functional teams to architect and implement a clean, extensible system that supports complex machine learning models, large-scale data processing, and business-facing applications.

Key Responsibilities:
  • 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.
  • 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.
  • Contribute to product planning and roadmaps by working with cross-functional teams to estimate scope, propose solutions, and deliver value iteratively.
Requirements:

To be successful in this role, you will need:

  • Extensive experience in full stack development using Python, Streamlit, and modern web frameworks.
  • Strong understanding of data engineering concepts, including data pipelines, storage, and processing.
  • Experience with cloud-native databases such as Snowflake and ability to design scalable data architectures.
  • Proficiency in DevOps practices, including testing, CI/CD automation, and observability.
  • Excellent problem-solving skills and ability to collaborate with cross-functional teams.
  • Strong communication and interpersonal skills.
Benefits:

We offer a competitive salary and benefits package, including:

  • A dynamic and collaborative work environment.
  • Ongoing training and professional development opportunities.
  • A comprehensive benefits package, including medical, dental, and vision coverage.
  • A generous paid time off policy.
About Us:

We are a leading analytics and data science company dedicated to delivering innovative solutions to our clients. Our team is passionate about leveraging data to drive business insights and growth.

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