High-Performance Data Engineer

2 weeks ago


Singapore beBeeDataProfessional Full time $180,000 - $200,000
Job Overview

    We are seeking an experienced data professional to design and build robust data pipelines. The ideal candidate will have a strong background in data engineering, with expertise in designing and implementing scalable ETL processes.


Main Responsibilities:
  • Data Engineering & Pipeline Development:
    • Design and implement high-performance ETL pipelines to ingest, transform, and load high-volume, high-velocity data from IT infrastructure, monitoring systems, and cloud environments.
    • Develop batch and real-time data flows using frameworks such as Apache NiFi, Spark, Airflow, Flink, Kafka, and Talend.
    • Optimize ETL jobs for scalability, fault tolerance, and low latency.
    • Implement data validation, cleansing, and normalization processes for consistent AI model input.
    • Integrate with AIOps platforms and ML pipelines using REST APIs or event-driven architectures.
    • Develop and maintain robust data pipelines for ingesting, filtering, transforming, and loading data from various sources (e.g., network devices, appliances, databases, APIs, cloud storage).
  • Application & Backend Development:
    • Design and build backend services (microservices, APIs) in Python / Go/Java / Ruby to support data ingestion, metadata services, and configuration management.
  • DevOps & Orchestration:
    • Use tools like Elastic Stack, Apache Airflow, Prefect, or Dagster to schedule and monitor ETL jobs.
    • Implement CI/CD pipelines for deploying ETL services and full-stack apps.



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