Data Engineering Innovator

22 hours ago

Anand, Gujarat, India beBeeDataEngineer Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Unlock Your Potential as a Data Engineer

Sapaad is a global leader in unified commerce platforms, delivering world-class software solutions for the food and beverage industry. With over a decade of experience, our flagship product has empowered thousands of F&B businesses across 40+ countries.

We're driven by a passionate team of developers, designers, and product experts who are constantly evolving our innovative, industry-defining features that set the benchmark for F&B tech.

As a Data Engineer at Sapaad, you'll design and optimize 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.

You'll have a platform to explore, apply, and grow your skills in modern data engineering. You'll work on high-impact projects shaping the future of the F&B tech industry, collaborate with global teams, and be part of a company redefining the future of F&B tech worldwide.

Your 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.
You'll Be a Strong Fit If You Have:
  • At least 2 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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