AI data engineer

Fuku; Singapore; Remote; SGD 90,000 - 120,000; Full time

Benefits offered by this job

Performance-based bonuses

Health insurance (medical, dental, and

Flexible hours

Remote work options

Career development

Paid time off

Cutting-edge technology

Collaborative environment

Job summary

Hytech is seeking a Data Engineer to design and maintain scalable data pipelines powering AI applications. You will work with data scientists and software engineers to productionize models and ensure robust data flows.

The role requires strong SQL, Python/Java/Scala skills, experience with Hadoop, Spark, Kafka, and cloud platforms (AWS/Azure/GC). You will optimize storage, monitor pipelines, and contribute to engineering standards in a collaborative, fast-paced environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role, with a focus on AI applications.
• Strong programming skills in Python, Java, or Scala.
• Experience with big data technologies like Hadoop, Spark, or Kafka.
• Proficiency in SQL and experience with relational and NoSQL databases.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and systems for AI applications.
• Collaborate with data scientists and software engineers to integrate AI models into production environments.
• Implement data collection, cleansing, and preprocessing techniques to ensure data quality and integrity.
• Optimize data storage and retrieval processes to enhance system performance and efficiency.
• Monitor and troubleshoot data pipeline issues to ensure seamless data flow and system reliability.
• Stay updated with the latest industry trends and technologies in AI and data engineering.
• Contribute to the development of best practices and standards for data engineering processes.

Skills

Python

Java

Scala

SQL

Data Modeling

Communication

Collaboration

Education

Bachelor's or Master's in CS/Engineering

Tools

Hadoop

Spark

Kafka

AWS

Azure

Google Cloud

Job description

About the company:

Hytech is a leading technology firm specializing in innovative solutions that harness the power of artificial intelligence and data analytics. With a commitment to driving digital transformation, Hytech empowers businesses across various industries to optimize their operations and achieve sustainable growth. Our team of experts is dedicated to delivering cutting-edge technology and exceptional service to our clients worldwide.

Job responsibilities:

• Design, develop, and maintain scalable data pipelines and systems for AI applications.
• Collaborate with data scientists and software engineers to integrate AI models into production environments.
• Implement data collection, cleansing, and preprocessing techniques to ensure data quality and integrity.
• Optimize data storage and retrieval processes to enhance system performance and efficiency.
• Monitor and troubleshoot data pipeline issues to ensure seamless data flow and system reliability.
• Stay updated with the latest industry trends and technologies in AI and data engineering.
• Contribute to the development of best practices and standards for data engineering processes.

Job requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role, with a focus on AI applications.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with big data technologies like Hadoop, Spark, or Kafka.
• Proficiency in SQL and experience with relational and NoSQL databases.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Job benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Flexible working hours and remote work options.
• Opportunities for professional development and career advancement.
• Generous paid time off and holiday schedule.
• Access to cutting-edge technology and tools.
• Collaborative and inclusive work environment.