Data Architect

2 days ago

Guntur, Andhra Pradesh, India beBeeData Full time ₹ 40,00,000 - ₹ 60,00,000

Unlock the Power of Data

We're a leader in unified commerce platforms, delivering software solutions for the food and beverage industry. Our flagship product has achieved remarkable success over the past decade, empowering thousands of businesses across 40+ countries.

As passionate developers, designers, and product experts, we continuously innovate—introducing features that set the benchmark for F&B tech. We're headquartered in Singapore, with offices across five countries, backed by seasoned technology veterans with deep expertise in web, mobility, and e-commerce.

Role Overview:

Our team seeks a skilled Data Engineer to 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.

Why Choose Us?

  • A platform to explore, apply, and grow your skills in modern data engineering
  • Opportunity to work on high-impact projects shaping the future of the F&B tech industry
  • Collaborate with global teams across product, engineering, and data functions
  • Be part of a company redefining the future of F&B tech worldwide
  • Accelerate your career while learning from seasoned leaders and industry veterans

Your Key Responsibilities:

  1. Design, build, and maintain scalable data pipelines and infrastructure
  2. Assemble and manage large, complex datasets from diverse sources
  3. Automate and optimize data processes for greater efficiency and scalability
  4. Develop and manage ETL workflows using SQL and cloud-based big data tools
  5. Build analytics tools to deliver actionable insights into business performance
  6. Collaborate with executives, product managers, architects, and analysts to meet evolving data needs
  7. Ensure data systems are secure, reliable, and high-performing
  8. Support data scientists and analysts by creating data tools and environments for advanced analytics

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, with exposure to multiple database technologies
  • Proven experience building and optimizing big data pipelines, architectures, and data sets
  • Strong analytical skills, especially in handling unstructured datasets
  • Working knowledge of cloud-based big data services (AWS, Azure, or GCP)
  • Familiarity with big data tools such as Hadoop, Spark, Kafka, etc.
  • Experience with ETL tools like Informatica, DataStage, or Azure Data Factory
  • Knowledge of stream-processing systems like Storm or Spark Streaming
  • Proficiency in scripting/programming languages such as Python, Java, or Scala
  • Excellent communication skills and the ability to thrive in cross-functional teams

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