Elasticsearch Data Engineer

4 days ago

Catonsville, Maryland, United States Leidos Full time
Job Title:

Elasticsearch Data Engineer

Job Summary:

Leidos is seeking a skilled Elasticsearch Data Engineer to support the Enterprise Situational Awareness/Common Operational Picture (SA/COP) Team. The ideal candidate will have a strong background in data integration, model development, and system architecture, along with experience in maintaining and optimizing data pipelines.

Key Responsibilities:
  • Data Analysis & Problem Solving: Analyze quantitative and qualitative data to solve stakeholder problems and improve business efficiency. Design, implement, and document solutions as repeatable processes.
  • ETL Pipeline Development: Perform extraction, transformation, and load (ETL) tasks. Develop and integrate data sets from diverse environments to support use cases involving network, performance, application, and configuration data.
  • Data Modeling & Management: Develop, test, and maintain both physical and logical data models. Ensure consistency, quality, accuracy, and security of data by managing relevant metadata in support of the project.
  • Adherence to Governance & SecDevOps: Follow GMS Data Governance and SecDevOps policies to develop, test, deploy, and maintain data engineering pipelines.
  • Cross-Team Collaboration: Work within a matrixed organization to collaborate with primary project leadership while maintaining standard practices with GMS core teams.
  • System Architecture & Data Transformation: Apply knowledge of system architecture, network, and Centralized Logging (ELK) to support data transformation efforts.
  • Data Analytics & Visualization: Secure, maintain, optimize, and document analytics and visualization solutions, including some design and build responsibilities.
  • Agile Practices: Follow Agile scrum practices in daily operations.
  • Elastic Cluster Management: Deploy and manage Elastic clusters on Kubernetes in both on-premise and cloud environments.
  • Platform Expansion: Expand data platforms and analytics solutions using Elastic and Confluent platforms, focusing on SATCOM metadata for dashboard and reporting visualizations.
  • Customer Visualization Support: Support customer-driven visualization requirements and collaborate on data integration and Kibana dashboard development.
Requirements:
  • 8+ years of experience and a B.S. Additional experience may be accepted in lieu of degree.
  • Proficiency with Data Management platforms and strong communication skills for effective collaboration with virtual teams of data engineers and DevOps engineers.
  • Experience following a software development lifecycle, with the ability to develop and maintain production-quality code.
  • Must hold an active Secret DoD Security clearance.
Preferred Qualifications:
  • Experience automating data cleansing, formatting, staging, and transformation processes.
  • Proficiency with text mining tools, summarization, search (ELK Stack), entity extraction, training set generation, and anomaly detection.
  • Familiarity with CI/CD techniques for developing and releasing software through containerized pipelines.
  • Knowledge of BI tools (e.g., Kibana, Splunk) and experience with developing search and analytics applications.
  • Experience with Elasticsearch, Logstash, Kibana, Kafka, ksql, NiFi, Apache Spark, ServiceNow.
  • Certified Elastic Engineer with experience developing logstash and ingest pipelines.
  • Experience developing in Confluent ksql and kstreams for data ETL purposes.
  • Familiarity with Kubernetes and deployment of containers.
  • Experience with Agile methodologies and related tools.

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