Data engineer at Fuku
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Java, Scala, Hadoop, Spark, Kafka, AWS, Azure, Google Cloud, Data Pipelines, Data Quality, Data Integrity, Problem-solving, Communication

Industry

Retail Apparel and Fashion

Description
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.
Responsibilities
The role involves designing, developing, and maintaining scalable data pipelines and systems to support data processing and analytics. Responsibilities also include collaborating with data scientists, implementing data quality checks, and optimizing data storage processes.
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