About this role
The team is seeking an experienced Senior Data Engineer to join their team, specializing in AI-first engineering and innovative GenAI solutions. In this pivotal role, you will design and architect robust data pipelines that power advanced AI applications. Your focus will be on building high-performance ingestion engines for unstructured data, vector databases, and scalable real-time streaming architectures. You will bridge the gap between complex data engineering and modern AI, ensuring seamless data flow and integration.
Key Responsibilities:
- Design and implement robust data pipelines for processing unstructured data.
- Develop high-performance ingestion engines and scalable real-time streaming architectures.
- Collaborate with cross-functional teams to optimize data workflows and enhance AI applications.
- Ensure data quality, consistency, and accessibility across various platforms.
- Stay updated with industry trends and emerging technologies in data engineering and AI.
Required Skills & Qualifications:
- Strong experience with data pipeline architecture and design.
- Proficiency in programming languages such as Python, Java, or Scala.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Experience with vector databases and real-time data processing frameworks.
- Knowledge of cloud platforms such as AWS or Azure is a plus.
Experience:
- Minimum of 5-8 years of relevant experience in data engineering or a similar role.
What we offer:
- Opportunity to work with cutting-edge technologies in AI and data engineering.
- A collaborative and innovative work environment.
- Professional growth and development opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.