Elasticsearch Data Engineer
7 days ago
We are seeking a skilled Elasticsearch Data Engineer to join our team at Leidos. As a key member of our SA/COP team, you will work alongside a fast-paced, Agile development and implementation team to architect, design, and develop a data engineering detailed design solution that supports a unified data integrated platform.
Key Responsibilities:- Data Analysis & Problem Solving: Analyze quantitative and qualitative data to solve stakeholder problems and improve business efficiency.
- ETL Pipeline Development: Perform extraction, transformation, and load (ETL) tasks to develop and integrate data sets from diverse environments.
- Data Modeling & Management: Develop, test, and maintain both physical and logical data models to ensure consistency, quality, accuracy, and security of data.
- 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.
- Education/Experience: 8+ years of experience and a B.S. in Engineering, Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, Data Science, or Data Analytics.
- Data Management & Collaboration: Proficiency with Data Management platforms and strong communication skills for effective collaboration with virtual teams of data engineers and DevOps engineers.
- Software Development Lifecycle: Experience following a software development lifecycle, with the ability to develop and maintain production-quality code.
- Security Clearance: Ability to obtain interim Secret DoD Security clearance before the start date.
- Data Automation: Experience automating data cleansing, formatting, staging, and transformation processes.
- Text Mining & ELK Stack: Proficiency with text mining tools, summarization, search (ELK Stack), entity extraction, training set generation, and anomaly detection.
- CI/CD & Containerization: Familiarity with CI/CD techniques for developing and releasing software through containerized pipelines.
- BI Tools & Search Analytics: Knowledge of BI tools (e.g., Kibana, Splunk) and experience with developing search and analytics applications.
Pay Range: $101, $183,300.00
Leidos is an Equal Opportunity Employer.
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