Job Description
CSIT develops products to advance the national security interests of Singapore. We use our products in a wide range of use-cases, including but not limited to Counter-terrorism and Computer Network Defence. We are looking for talented senior data engineers to lead and build mission-critical products that identify, analyse and investigate threats.
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 optimised ETL code to handle large datasets
- Proficient in programming languages such as Scala or Java
- Familiarity with the following technologies: 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 sklils to get things done in a dynamic environment
Responsibilities
- Design and build data pipelines that are scalable, robust and maintainable to ingest crucial data using cutting-edge platforms and technologies
- Work with product managers, engineering managers and key stakeholders to deliver impactful data products that meet our business needs
- Optimise performance of large-scale data pipelines for low-latency, high-throughput and reliability
- Ensure data integrity, quality and governance through robust design and operational monitoring
- Troubleshoot and resolve complex issues in critical data pipelines
- Implement best practices in data engineer, including testing, orchestration and monitoring of data pipelines
- Lead technical discussions with the team and key stakeholders to shape the future of our data products
- Mentor junior data engineers and contribute to building a strong data engineering culture within the team
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.
Responsibilities
Responsibilities
- Design and build data pipelines that are scalable, robust and maintainable to ingest crucial data using cutting-edge platforms and technologies
- Work with product managers, engineering managers and key stakeholders to deliver impactful data products that meet our business needs
- Optimise performance of large-scale data pipelines for low-latency, high-throughput and reliability
- Ensure data integrity, quality and governance through robust design and operational monitoring
- Troubleshoot and resolve complex issues in critical data pipelines
- Implement best practices in data engineer, including testing, orchestration and monitoring of data pipelines
- Lead technical discussions with the team and key stakeholders to shape the future of our data products
- Mentor junior data engineers and contribute to building a strong data engineering culture within the team
Requirements
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 optimised ETL code to handle large datasets
- Proficient in programming languages such as Scala or Java
- Familiarity with the following technologies: 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 sklils to get things done in a dynamic environment
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