Technical Requirements:

• Develop and use data processing technologies in Clustered Computing environments
• Sustain and enhance capabilities for ingesting and exploiting high-volumes of disparate datasets
• Ensure existing ecosystem of capabilities are sustained at the same or better levels

Mandatory Skills:

• Experience with Python, SPARK, Java, SQL, ECL, Jenkins, PyPi, Terraform, Cloudera, Apache NiFi, Apache Hop, and ElasticSearch
• Experience developing, running, and analyzing complex queries against data stores
• Experience manipulating structured and unstructured data
• Experience with analytic techniques and tools
• Experience with system hardware and software troubleshooting
• Experience with IT architectures (servers, storage, virtualization)
• Experience with SPLUNK and ELK
• Experience with system and enterprise level health and status monitoring

Desired Skills:

• Experience with Enterprise Control Language (ECL) and HPCC platform
• Experience performing All-Source data analysis
• Experience developing custom algorithms for massive data stores
• Experience supporting the Sponsor with technical analysis using massive data processing systems