CS
CSITSenior Data Engineer (Big Data Processing)
LocationSingapore, Singapore
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentSoftware Engineering, Data Engineering
Company size501–1,000 people
PostedNov 25, 2024 · 1y ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
A degree or professional qualification 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 skills to get things done in a dynamic environment
Only Singapore Citizens will be considered
Skills
Scala
Java
Spark
Kafka
Hadoop
Elastic stack
Kudu
About the company
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.
Role
As a senior data engineer in a team that is responsible for mission-critical data analytics systems, you will contribute to the development and maintenance of high-performance data pipelines and systems related to national security. You will be involved in complex technical projects to collect, parse and process large datasets with the aim to turn them into useful information and insights. Join us to seize the opportunity to use cutting-edge technologies to protect the nation.
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
•
A degree or professional qualification 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
Why join us?
•
The work is purposeful and meaningful
•
You will get to work with talented and driven people
•
We work with modern technologies and tech stacks
•
We have excellent engineering culture and work-life balance
•
We aspire for engineering and operational excellence
•
We empower to innovate
Legal
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.
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