Mastering Big Data Insights

1 day ago

Nellore, Andhra Pradesh, India beBeeData Full time ₹ 12,14,000 - ₹ 20,22,000

We are a global leader in unified commerce platforms, delivering world-class software solutions for the food and beverage industry. Our product has achieved remarkable success over the past decade, empowering thousands of F&B businesses across 40+ countries.

Driven by a passionate team of developers, designers, and product experts, we constantly evolve—introducing innovative features that set the benchmark for F&B tech.

We're on a mission to revolutionize the F&B industry with our powerful cloud-based POS and restaurant management platform. We need an expert Data Engineer who will design and optimize our distributed data pipelines, infrastructure, and tools that power insights across our business.

You'll collaborate closely with developers, architects, analysts, and data scientists to ensure smooth, secure, and efficient data delivery across multiple products and projects. If you thrive in a fast-paced environment and transform raw data into actionable insights, this is the role for you.

A platform to explore modern data engineering

Opportunity to shape the future of the F&B tech industry

Collaborate with global teams

Be part of a company redefining F&B tech worldwide

  • Design scalable data pipelines and infrastructure.
  • Assemble large datasets from diverse sources.
  • Automate and optimize data processes.
  • Develop ETL workflows using SQL and cloud-based big data tools.
  • Build analytics tools for actionable insights.
  • Collaborate with executives and product managers.
  • Ensure data systems are secure and high-performing.

Key Requirements:

  • 2–7 years of hands-on experience as a Data Engineer.
  • A graduate degree in Computer Science, IT, Statistics, or a related quantitative field.
  • Advanced knowledge of SQL and relational databases.
  • Proven experience building big data pipelines and architectures.
  • Strong analytical skills, especially in handling unstructured datasets.
  • Working knowledge of cloud-based big data services.
  • Familiarity with big data tools and ETL tools.
  • Proficiency in scripting/programming languages such as Python, Java, or Scala.

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