Senior Data Engineer

SG, Singapore

Job Description

We're seeking a Senior Data Engineer with expertise in building scalable data architectures and real-time data processing systems. You'll design and implement large-scale data pipelines to process unstructured data, driving insights and business value.





Key Responsibilities:



Design and develop scalable data architectures using Spark Streaming, PySpark, and Scala Process and analyze large volumes of unstructured data from various sources Build and maintain real-time data pipelines for data integration and analytics Collaborate with cross-functional teams to integrate data insights into business applications Optimize data processing workflows for performance, reliability, and scalability Troubleshoot data pipeline issues and ensure high data quality

Requirements:



10+ years of experience in data engineering, with a focus on building scalable data systems Strong expertise in Spark Streaming, PySpark, and Scala Experience working with large-scale unstructured data and real-time data processing Proficiency in data processing frameworks and tools (e.g., Apache Spark, Apache Kafka) Strong analytical and problem-solving skills, with attention to detail and scalability Excellent communication and collaboration skills

Nice to Have:



Experience with machine learning algorithms and model deployment Knowledge of cloud-based data platforms (e.g., AWS, GCP, Azure) Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes)

What We Offer:



Competitive salary and benefits package Opportunity to work on complex data engineering projects * Collaborative and dynamic work environment

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Job Detail

  • Job Id
    JD1623517
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    SG, Singapore
  • Education
    Not mentioned