Celebree School of Elkridge
Director of Data Infrastructure Engineering
Celebree School of Elkridge, Snowflake, Arizona, United States, 85937
Director of Data Infrastructure Engineering
RapidAI
Full TimeRole Highlights
PythonJavaSCALAData InfrastructureComputer ScienceAgileDistributed SystemsData ProcessingRelational DatabaseTechnical LeadershipData QualityDatabase SchemaStorageOptimizationReliabilityCloudNoSQLGoogle AnalyticsTools, Libraries and Frameworks
SnowFlakeFlinkAWSGCPDockerPostGresMySQLMongoDBAirflowHadoopDescription
The role involves designing and implementing scalable, reliable, and efficient data infrastructure solutions to support the organization's data processing, storage, and analytics needs. The individual will collaborate with data engineers, software engineers, and data scientists to translate data requirements into technical specifications and architecture designs. Key skills required include proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark, Snowflake, Apache Flink, or Hadoop. Other necessary skills include proficiency in cloud computing platforms, containerization technologies, relational and NoSQL databases, and data pipeline orchestration tools.RapidAI is a global leader in utilizing AI for combating life-threatening vascular and neurovascular conditions. It has developed the Rapid platform, which enhances physician decision-making and improves patient outcomes by offering unprecedented patient visibility. AI is integral to the company's operations, driving the next evolution in clinical workflows across a network of over 2000 hospitals in more than 60 countries.
#J-18808-Ljbffr
RapidAI
Full TimeRole Highlights
PythonJavaSCALAData InfrastructureComputer ScienceAgileDistributed SystemsData ProcessingRelational DatabaseTechnical LeadershipData QualityDatabase SchemaStorageOptimizationReliabilityCloudNoSQLGoogle AnalyticsTools, Libraries and Frameworks
SnowFlakeFlinkAWSGCPDockerPostGresMySQLMongoDBAirflowHadoopDescription
The role involves designing and implementing scalable, reliable, and efficient data infrastructure solutions to support the organization's data processing, storage, and analytics needs. The individual will collaborate with data engineers, software engineers, and data scientists to translate data requirements into technical specifications and architecture designs. Key skills required include proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark, Snowflake, Apache Flink, or Hadoop. Other necessary skills include proficiency in cloud computing platforms, containerization technologies, relational and NoSQL databases, and data pipeline orchestration tools.RapidAI is a global leader in utilizing AI for combating life-threatening vascular and neurovascular conditions. It has developed the Rapid platform, which enhances physician decision-making and improves patient outcomes by offering unprecedented patient visibility. AI is integral to the company's operations, driving the next evolution in clinical workflows across a network of over 2000 hospitals in more than 60 countries.
#J-18808-Ljbffr