Data engineer
At a glance
Mid-level Data Engineering role at Fuku. Singapore · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain data workflows and systems that handle processing and analytics at scale
- Work with data scientists and analysts to turn their data needs into usable solutions
- Add checks that catch data issues and confirm information stays dependable
- Tune how data is stored and accessed to improve speed and control costs
- Document engineering workflows and systems for others to follow
What you bring
- A bachelor's degree in computer science, engineering or a related discipline
- Prior work as a data engineer or in a comparable position
- Strong coding ability in Python, Java or Scala, plus experience with a big-data tool such as Hadoop or Spark
Who this fits
This mid-level role suits someone who builds data pipelines and works closely with data scientists and analysts. The position is onsite in Singapore.
From the employer
About the company:
FUKU AI is a leading innovator in artificial intelligence solutions, dedicated to transforming industries through cutting-edge technology. Our mission is to harness the power of AI to create smarter, more efficient systems that drive progress and improve lives. With a team of world-class experts, FUKU AI is committed to pushing the boundaries of what's possible, delivering impactful solutions that meet the evolving needs of our clients across various sectors.
Job responsibilities:
- Design, develop, and maintain scalable data pipelines and systems to support data processing and analytics.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet business needs.
- Implement data quality checks and validation processes to ensure data integrity and reliability.
- Optimize data storage and retrieval processes for performance and cost efficiency.
- Develop and maintain documentation for data engineering processes and systems.
- Stay updated with the latest industry trends and technologies to continuously improve data engineering practices.
Job requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies like Hadoop, Spark, or Kafka.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work collaboratively in a team environment.
Job benefits:
- Competitive salary and performance-based bonuses.
- Comprehensive health insurance plans.
- Opportunities for professional development and career advancement.
- Flexible working hours and remote work options.
- Generous paid time off and holiday schedule.
- Access to cutting-edge technology and tools.
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