Big Data Engineer

bg prevent Singapore
Remote
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AI Summary

We're hiring a Big Data Engineer to design, build, and maintain scalable data platforms in a fully remote environment. This role is ideal for professionals passionate about large-scale data processing, distributed systems, and turning complex datasets into reliable, high-performance solutions. Key requirements include 3-7 years of experience in big data engineering and strong proficiency in Python, Java, or Scala.

Key Highlights
Design, develop, and maintain scalable data pipelines and big data architectures.
Collaborate with data scientists, analysts, and engineering teams to support analytics and ML workloads.
Ensure data quality, reliability, and performance across data platforms.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and big data architectures.
Build and optimize ETL/ELT workflows for large-scale datasets.
Collaborate with data scientists, analysts, and engineering teams to support analytics and ML workloads.
Technical Skills Required
Python Java Scala Spark Hadoop Flink Airflow AWS Azure GCP
Benefits & Perks
Fully remote role with flexible working arrangements
Opportunity to work on high-scale, data-intensive systems
Competitive compensation and benefits package

Job Description


🗃️ We’re Hiring: Big Data Engineer

📍 Location: Fully Remote (Based in Singapore)

🕒 Employment Type: Full-Time

💼 Level: Mid-Level / Senior

We’re looking for a skilled and data-driven Big Data Engineer to design, build, and maintain scalable data platforms in a fully remote environment. This role is ideal for professionals passionate about large-scale data processing, distributed systems, and turning complex datasets into reliable, high-performance solutions.

🎯 Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and big data architectures.
  • Build and optimize ETL/ELT workflows for large-scale datasets.
  • Work with distributed processing frameworks such as Spark, Hadoop, or Flink.
  • Collaborate with data scientists, analysts, and engineering teams to support analytics and ML workloads.
  • Ensure data quality, reliability, and performance across data platforms.
  • Implement monitoring, logging, and automation for data infrastructure.
  • Optimize storage and compute resources for performance and cost efficiency.
✅ Requirements
  • 3–7 years of experience in big data engineering, data platform engineering, or related roles.
  • Strong proficiency in Python, Java, or Scala.
  • Experience with big data tools (e.g., Spark, Kafka, Hadoop, Airflow).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and data warehouses.
  • Knowledge of data modeling, streaming, and batch processing concepts.
  • Strong problem-solving skills and ability to work in a distributed team.
  • Fluent in English with strong technical communication skills.
  • Based in Singapore with the legal right to work full-time.
🌟 What We Offer
  • Fully remote role with flexible working arrangements.
  • Opportunity to work on high-scale, data-intensive systems.
  • Collaborative and innovation-driven engineering culture.
  • Professional development and learning opportunities.
  • Competitive compensation and benefits package.



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