Business Intelligence Architect

5 days ago

Gandhinagar, Gujarat, India beBeeDataEngineer Full time US$ 1,40,000 - US$ 1,80,000

About Our Team

We're a leading provider of cutting-edge 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.

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.

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 skilled Data Engineer who will design and optimize our distributed data pipelines, infrastructure, and tools that power insights across our business.

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.

The Ideal Candidate

We're looking for a highly skilled professional who can bring innovation and expertise to our team. If you have a passion for data engineering and a drive to succeed, we want to hear from you

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