Chief Data Architect

6 days ago

Agra, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About us

We're a global leader in unified commerce platforms, delivering world-class software solutions for the food and beverage industry. Our flagship 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're constantly evolving—introducing innovative, industry-defining features that set the benchmark for F&B tech. We're headquartered in Singapore, with offices across five countries, and backed by seasoned technology veterans with deep expertise in web, mobility, and e-commerce.

Job Overview

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

As part of our growing data team, 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're excited by the idea of transforming raw data into actionable insights, and thrive in a fast-paced, innovation-driven environment, this is the role for you.

Key Responsibilities

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