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
Key Responsibilities
Technical Skills Required
Benefits & Perks
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.
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- 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.
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- 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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