Data streaming systems: Storm, Spark-Streaming, etc.
Search tools: Solr, Lucene, Elasticsearch
Object-oriented/object function scripting languages: Python, Java, C , Scala, etc.
Experience with Databricks.
Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience manipulating, processing, and extracting value from large, disconnected datasets.
Experience manipulating structured and unstructured data for analysis.
Experience constructing complex queries to analyze results using databases or in a data processing development environment.
Experience with data modeling tools and process.
Experience architecting data systems (transactional and warehouses).
Experience aggregating results and/or compiling information for reporting from multiple datasets.
Experience working in an Agile environment.
Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.