Data Engineering Lead for National Security Data Analytics

1 month ago


Singapore Centre for Strategic Infocomm Technologies Full time

About the Role

We are seeking an experienced data engineering lead to join our team at the Centre for Strategic Infocomm Technologies. As a senior data engineer, you will play a key role in designing and building high-performance data pipelines and systems that support national security data analytics.

Key Responsibilities

  • Design and Build Scalable Data Pipelines: Design and build data pipelines that are scalable, robust, and maintainable to ingest crucial data using cutting-edge platforms and technologies.
  • Work with Stakeholders: Collaborate with product managers, engineering managers, and key stakeholders to deliver impactful data products that meet our business needs.
  • Optimize Performance: Optimize performance of large-scale data pipelines for low-latency, high-throughput, and reliability.
  • Data Integrity and Governance: Ensure data integrity, quality, and governance through robust design and operational monitoring.
  • Troubleshoot Complex Issues: Troubleshoot and resolve complex issues in critical data pipelines.
  • Implement Best Practices: Implement best practices in data engineering, including testing, orchestration, and monitoring of data pipelines.
  • Lead Technical Discussions: Lead technical discussions with the team and key stakeholders to shape the future of our data products.
  • Mentor Junior Engineers: Mentor junior data engineers and contribute to building a strong data engineering culture within the team.

About You

To be successful in this role, you should have a bachelor's degree in computer science or equivalent and 5+ years of experience in data engineering, with a strong focus on building large-scale data pipelines. You should also have proven experience in writing optimized ETL code to handle large datasets and be proficient in programming languages such as Scala or Java.

Requirements

  • Bachelor's degree in computer science or equivalent.
  • 5+ years of experience in data engineering, with a strong focus on building large-scale data pipelines.
  • Proven experience in writing optimized ETL code to handle large datasets.
  • Proficient in programming languages such as Scala or Java.
  • Familiarity with technologies such as Spark, Kafka, Hadoop, Elastic stack, Kudu.
  • Strong understanding of modern data architectures and data modelling paradigms.
  • Able to communicate technical details effectively and clearly.
  • Good interpersonal, analytical, and problem-solving skills to get things done in a dynamic environment.

About Our Team

Our team is passionate about working with cutting-edge technologies and delivering high-quality results. We value innovation, collaboration, and continuous learning. If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply.



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