Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. 2. Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets. 3. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 4. Strong analytic skills related to working with unstructured datasets. 5. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. 6. A successful history of manipulating, processing, and extracting value from large disconnected datasets. 7. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. 8. Strong project management and organizational skills. 9. Experience supporting and working with cross-functional teams in a dynamic environment. 10. Experience using the following software/tools: (a) Big data tools: Hadoop, Spark, Kafka, etc. (b) Relational SQL and NoSQL databases, including Postgres and Cassandra. (c) Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. (d) AWS cloud services: EC2, EMR, RDS, Redshift. (e) Stream-processing systems: Storm, Spark-Streaming, etc. (f) Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.