Tasks:
- * Analyze business data needs and define technical standards
- * Build and optimize semantic knowledge with vector databases and knowledge graphs
- * Deliver real time and batch data processing solutions
- * Design and develop AI data foundations
- * Develop data products and applications
- * Plan and build enterprise data assets
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [Data Structures] [Data Structures and Algorithms] [Data Warehousing] [Flink] [Hadoop] [Hive] [Java] [Kafka] [Knowledge graphs] [Language Models] [Large Language Models] [MySQL] [Python] [Relational databases] [Scala] [Spark] [SQL] [Vector Databases]
Educational requirements:
[Bachelor's Degree]
Role(s):
[Data Engineer] [Data Warehouse Engineer] [Engineer] [Warehouse Engineer]