Requirements:

• At least 3-5 years of dimensional data modeling
• Strong Scripting skills in Python and shell scripting.
• Experience working with a data pipeline in the cloud (AWS highly preferred).
• Scala, Kafka, Spark, Zookeeper, Kafka Connect, Oracle, Dremio, Redshift, Elastic Search and other open source technologies are a requirement.

Responsibilities:

• Develops and maintains scalable data pipelines and builds out integrations to support continuing increases in data volume and complexity.
• Demonstrate technical expertise in enterprise level cloud data architecture and advance analytic solutions
• Establishes and participates in data management processes including data lineage, data profiling, data quality management, data stewardship and governance.
• Develop highly scalable and extensible data platforms/warehouses which enable collection, storage, modeling, and analysis of massive data sets