Senior Data Engineer (AI/Tooling)

Roles and Responsibility

• Design, develop, and implement data pipelines using AI and other tools.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain large-scale data systems and architectures.
• Ensure data quality, integrity, and security.
• Optimize data processing workflows for improved efficiency and performance.
• Stay updated with industry trends and emerging technologies in AI and tooling.

Job Requirements

• Strong understanding of AI concepts and their applications in data engineering.
• Experience with various data tools and technologies such as Hadoop, Spark, and NoSQL databases.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and interpersonal skills.
• Ability to adapt to changing priorities and deadlines.