American Systems Corporation - Annapolis Junction, MD

posted 6 months ago

Full-time - Mid Level
Annapolis Junction, MD
51-100 employees
Professional, Scientific, and Technical Services

About the position

As a Data Analytics Engineer at American Systems, you will play a crucial role in the design, development, architecture, and implementation of large-scale enterprise dataflow platforms. This position requires a deep understanding of complex, legacy disparate non-conforming datasets, and the ability to analyze and manage them effectively. You will be working with cutting-edge technology and collaborating with a team of highly skilled professionals who are driven and supportive. The role offers flexibility in managing your work hours and personal needs, supported by a single accrual leave plan. Your responsibilities will include the management, maintenance, and support of the Data Analytics platform's hardware and software. This encompasses deployment and ongoing support for host, application, appliance, and log monitoring and alerting. The Data Analytics System will be designed for high availability across geographically diverse operating locations. You will also demonstrate expert-level knowledge and experience in Big Data and Cloud technologies, including Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop. In addition, you will architect and deploy Person-Centric Services, utilizing AI/ML technologies, and lead modernization efforts for a portfolio of major legacy applications by leveraging cloud solutions, DevSecOps practices, and industry best practices. A key aspect of your role will be to architect and implement change-data-capture (CDC) replication for unique disparate datasets into Spark ML for deduplication and graph theory entity/identity grouping. You will also be responsible for architecting a scalable, automated enterprise-wide Security Event Management framework using Splunk to collect and analyze security events, enabling the agency to perform predictive analysis on billions of events each month.

Responsibilities

  • Manage, maintain, and support the Data Analytics platform hardware and software.
  • Provide deployment and ongoing support for host, application, appliance, and log monitoring and alerting.
  • Demonstrate expert-level knowledge/experience in Big Data and Cloud technologies such as Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
  • Architect and deploy Person-Centric Services using AI/ML technologies.
  • Lead modernization efforts for legacy applications leveraging cloud, DevSecOps, and industry best practices.
  • Architect and implement change-data-capture (CDC) replication for unique disparate datasets into Spark ML for deduplication and graph theory entity/identity grouping.
  • Develop a scalable, automated enterprise-wide Security Event Management framework using Splunk to collect and analyze security events.
  • Develop risk patterns through the Security Event Management framework for predictive analysis.

Requirements

  • Demonstrated expertise in design, development, architecture, and implementation of large-scale enterprise dataflow platforms.
  • Experience in analyzing complex, legacy disparate non-conforming datasets.
  • Expert-level knowledge in Big Data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
  • Experience in architecting and deploying Person-Centric Services using AI/ML technologies.
  • Experience in leading modernization efforts for legacy applications using cloud and DevSecOps practices.
  • Experience in architecting and implementing change-data-capture (CDC) replication.

Nice-to-haves

  • Experience with predictive analysis using large datasets.
  • Familiarity with security event management frameworks.

Benefits

  • Employee Stock Ownership Plan (ESOP)
  • Healthcare benefits
  • Paid leave
  • Retirement plans including 401k
  • Insurance programs
  • Education and training assistance
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