Tasks:
- * Advise on infrastructure changes
- * Deliver industrialized solutions
- * Design data solutions
- * Develop data pipelines
- * Gather requirements
- * Implement ETL processes
- * Integrate big data tools
- * Model data for analytics
- * Monitor performance
- * Support technology solutions
Perks/Benefits:
Skills/Tech stack required:
[Apache Airflow] [Apache Hive] [Apache Spark] [AWS] [Cloud Computing] [Command Line] [Data Modeling] [Docker] [ETL] [Git] [Google Cloud] [Hadoop] [Kubernetes] [Microsoft Azure] [MongoDB] [Neo4j] [PySpark] [Python] [Redis] [SQL] [Unix Command] [Unix command line]
Educational requirements:
[Bachelor's Degree] [Master's Degree]
Role(s):
[AI Data Engineer] [AI Data Engineer Intern] [Data Engineer] [Data Engineer Intern] [Engineer Intern] [Intern]