Quals--
Demonstrates mutual respect, embraces diversity, and acts with authenticity
Bachelors degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred
Seven or more years of experience in designing and building large-scale solutions in an enterprise setting in both
Three years in designing and building solutions in the cloud
Expertise in building and managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB or analogous architectures
Expertise in building Cloud Database Management Systems in Databricks Lakehouse or analogous architectures
Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures a plus
Deep SQL expertise, data modeling, and experience with data governance in relational databases
Experience with the practical application of data warehousing concepts, methodologies, and frameworks using traditional (Vertica, Teradata, etc.) and current (SparkSQL, Hadoop, Kafka) distributed technologies
Refined skills using one or more scripting languages (e.g., Python, bash, etc.)
Experience using ETL/ELT tools and technologies such as Talend, Informatica a plus
Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind
Expertise in relational and dimensional data modeling
UNIX Admin And General Server Administration Experience Required
Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus
Experience using Spark, Kafka, Hadoop, or similar distributed data technologies a plus
Able to expertly express the benefits and constraints of technology solutions to technology partners, business partners, and team members
Experience with leveraging CI/CD pipelines
Experience with Agile methodologies and able to work in an Agile manner is preferred
One or more cloud certifications
Any Graduate