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.