Senior Data Engineer - ADAP

About AppenAppen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industrys most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.Our data is crucial for building and continuously improving the worlds most innovative artificial intelligence systems and Appen is already trusted by the worlds largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Position SummaryAppen is on the lookout for a seasoned Senior Data Engineer to join our rapidly expanding team. As a Senior Data Engineer, you will leverage your deep technical expertise and leadership skills to drive the development of cutting-edge software solutions that will shape the future of AI and machine learning.Key Responsibilities

• Design, build, and manage large scale data infrastructures using a variety of AWS technologies such as Amazon Redshift, AWS Glue, Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon EMR, and Amazon RDS.
• Ensure the performance, availability, and security of datasets across our organization, utilizing AWSs robust suite of tools for data management.
• Collaborate with data scientists, software engineers, product managers and other key stakeholders to develop data-driven solutions and models.
• Translate complex functional and technical requirements into detailed design proposals and implement them .
• Mentor junior and mid-level data engineers, fostering a culture of continuous learning and improvement within the team.
• Identify, troubleshoot, and resolve complex data-related issues.
• Champion best practices in data management, ensuring the cleanliness, integrity, and accessibility of our data.
• Optimize and fine-tune data queries and processes for performance. Evaluate and advise on technological components, such as software, hardware, and networking capabilities, for database management systems and infrastructure.
• Stay informed on the latest industry trends and technologies to ensure our data infrastructure is modern and robust.

Qualifications

• Bachelors Degree in Computer Science, Information Systems, or a related field. A Masters Degree is preferred.
• 5-7 years of hands-on experience with AWS data engineering technologies, such as Amazon Redshift, AWS Glue, AWS Data Pipeline, Amazon Kinesis, Amazon RDS, and Apache Airflow.
• Demonstrated proficiency in SQL and NoSQL databases, ETL tools, and data pipeline workflows.
• Experience with Python, and/or Java.
• Deep understanding of data structures, data modeling, and software architecture.
• Experience with AI and machine learning technologies is highly desirable.
• Strong problem-solving skills and attention to detail.
• Self-motivated and able to work independently, with excellent organizational and multitasking skills.
• Exceptional communication skills, with the ability to explain complex data concepts to non-technical stakeholders.

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.