Elasticsearch Data Engineer Position

4 weeks ago

Suitland, Maryland, United States Federal Staffing Solutions Inc. Full time
Job Title: Elasticsearch Data Engineer Position

Job Description:

We are seeking a highly skilled Elasticsearch Data Engineer to join our team at Federal Staffing Solutions Inc. The ideal candidate will have a strong background in data engineering, Elasticsearch, and related technologies.

Responsibilities:

* Analyze quantitative and qualitative data to solve stakeholder problems and improve business efficiency.
* Design, implement, and document solutions as repeatable processes.
* 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.
* 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.
* Identify and resolve Elasticsearch issues, including slow queries and indexing problems.
* Follow GMS Data Governance and SecDevOps policies to develop, test, deploy, and maintain data engineering pipelines.
* Work within a matrixed organization to collaborate with primary project leadership while maintaining standard practices with GMS core teams.
* Combine software and data engineering practices to strengthen enterprise data governance.
* Apply knowledge of system architecture, network, and Centralized Logging (ELK) to support data transformation efforts.
* Secure, maintain, optimize, and document analytics and visualization solutions, including some design and build responsibilities.
* Follow Agile scrum practices in daily operations.
* Deploy and manage Elastic clusters on Kubernetes in both on-premise and cloud environments.
* Expand data platforms and analytics solutions using Elastic and Confluent platforms, focusing on SATCOM metadata for dashboard and reporting visualizations.
* Support customer-driven visualization requirements and collaborate on data integration and Kibana dashboard development.

Requirements:

* 8+ years of experience and a B.S. in Engineering, Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, Data Science, or Data Analytics.
* 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.
* Ability to obtain interim Secret DoD Security clearance before the start date.
* 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.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job with or without reasonable accommodation.

Equal Opportunity Employer

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