AI Data Engineer

We are seeking a highly motivated and experienced Data Engineer to join our dynamic team in California. This is an excellent opportunity for a skilled professional to contribute to building and optimizing robust data pipelines and architecture, ensuring data quality and accessibility for analytics and business intelligence initiatives. If you are passionate about data and possess a strong background in data engineering principles, we encourage you to apply.

Key Responsibilities

• Design, develop, and maintain scalable and efficient data pipelines using various ETL/ELT tools and techniques.
• Build and optimize data models, data warehousing solutions, and data lake architectures to support diverse analytical requirements.
• Collaborate with data scientists, analysts, and other engineering teams to understand data needs and implement appropriate data solutions.
• Ensure data quality, integrity, and reliability across all data platforms through rigorous testing and validation.
• Implement and manage monitoring solutions for data pipelines and infrastructure to identify and resolve issues proactively.
• Work with large-scale datasets, ensuring performance and cost-effectiveness of data storage and processing.
• Contribute to the continuous improvement of data engineering practices, tools, and processes.
• Stay abreast of emerging data technologies and recommend their integration where appropriate to enhance our data capabilities.

Requirements

• Proven experience as a Data Engineer or in a similar role focused on data platform development.
• Strong proficiency in programming languages such as Python.
• Expertise in SQL and experience with relational and NoSQL databases.
• Hands-on experience with cloud platforms, particularly AWS.
• Familiarity with big data technologies like Apache Spark and Kafka.
• Experience with version control systems, preferably Git.
• Solid understanding of data warehousing concepts, ETL processes, and data modeling.
• Ability to troubleshoot complex data-related issues and optimize data processing workflows.
• Excellent problem-solving skills and a strong analytical mindset.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

What We Offer

• An engaging and challenging work environment where your contributions make a significant impact.
• Opportunities for professional growth and continuous learning in cutting-edge data technologies.
• A collaborative team culture that fosters innovation and support.
• The chance to work on exciting projects that leverage vast datasets to drive business insights.
• Competitive compensation package and benefits.