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Big Data Engineer, Data Ingestion

SpringCube

Full time - Associate/Junior Executive

Social Networking & Media

Singapore ( Onsite )

Published 1 month ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your

job search. Explore the position below to find your next career move.

Company Overview:

We are a leading technology company specializing in building large-scale data platforms that empower businesses through efficient data management. Our products cover the entire data pipeline lifecycle, including data ingestion, integration, development, cataloging, security, and governance. We support a wide array of business needs, enabling data engineers and scientists to significantly enhance their productivity. Our mission is to create robust, scalable, and reliable data solutions that drive innovation and informed decision-making.

Job Description: Big Data Engineer, Data Ingestion

Responsibilities:

  • Design, develop, and optimize the architecture of large-scale data ingestion systems to support real-time data pipelines, ensuring high throughput, low latency, and fault tolerance.
  • Enhance the performance, scalability, and reliability of data ingestion pipelines.
  • Develop and implement automated and intelligent operation and maintenance systems to monitor, diagnose, and ensure the stability and reliability of data ingestion pipelines.
  • Collaborate with cross-functional teams to deliver event data ingestion, transformation, and storage solutions that meet diverse business requirements.
  • Troubleshoot and resolve complex issues in production systems, ensuring minimal downtime and optimal performance.

Qualifications:

Minimum Qualifications:

  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • 2+ years of experience in software development with proficiency in one or more programming languages, such as Java, Scala, Python, or Go.
  • Strong understanding of data structures, algorithms, and distributed systems principles.
  • Hands-on experience with big data technologies, such as Hadoop, Flink, Kafka, or similar frameworks.

Preferred Qualifications:

  • 2+ years of experience in real-time data processing frameworks like Flink. Contributions to open-source projects are a plus.
  • Experience in the event tracking domain, including event collection, real-time processing, governance, quality assurance and cost optimization.
  • Deep understanding of data lakehouse architectures and the integration of stream and batch processing.
  • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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