Senior Data Engineer (Big Data Processing)
On-site Singapore, Singapore Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Centre for Strategic Infocomm Technologies. Singapore, Singapore · full-time.
Pay not stated Data Engineer salary
RoleData Engineering
SenioritySenior
LocationSingapore, Singapore
WorkplaceOn-site
EmploymentFull-time
PostedNov 25, 2024 · 1y ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build dependable data pipelines that ingest important information and handle large datasets for analysis
- Work with product and engineering managers and stakeholders to deliver data products that meet business needs
- Improve pipeline speed, throughput and reliability while monitoring data quality, integrity and governance
- Resolve complex pipeline problems and put testing, orchestration and monitoring practices in place
- Guide technical discussions and mentor junior data engineers on the team
What you bring
- A computer science degree or professional qualification, or an equivalent background
- At least five years in data engineering, focused on large-scale pipelines
- Experience writing efficient ETL code for large datasets and proficiency in Scala or Java
- Familiarity with Spark, Kafka, Hadoop or another listed technology, plus knowledge of data architecture and modelling
Who this fits
This senior role suits an experienced data engineer who can lead technical work, communicate clearly and support junior colleagues. The position is onsite in Singapore, and only Singapore citizens are eligible.
From the employer
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