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.

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