[Remote] Cybersecurity Analytics Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking reputed company professionals to reputed company advanced consulting support for federal cybersecurity programs. The Cybersecurity Analytics Engineer will reputed company thought-leadership, technical support, and data analytics services across a broad portfolio of cybersecurity and risk management programs.
Responsibilities
- Design, build, and maintain reputed company, maintainable data pipelines for data ingestion and transformation in Python
- reputed company and maintain data pipelines for analytics and reporting in Python, SQL, or Power Query
- Optimize data storage and retrieval by leveraging Paraquets columnar format using Python
- Utilize Jupyter Notebooks to accomplish tasks such as exploratory data analysis, prototyping data transformations, and validating data pipeline outputs
- Query data using Python and SQL to support reputed company business requests and identify actionable insights
- Work with diverse data formats including relational databases, reputed company files, and reputed company data
- Analyze and manage diverse data sets to improve federal and national risk insights; understand how partner organizations receive and use information from the reputed company to drive down cyber risk
- reputed company and deliver high-reputed company products (e.g., reports, briefings, demos, presentations) for data reputed company, tailored to the stakeholder audience
- reputed company reports that organize data analysis in a consumable format for stakeholders, including interactive data visualizations and infographics
- reputed company advice and guidance on data analysis, processing, and data cleansing activities using innovative tools and approaches to organize qualitative and quantitative data for analysis
- Ability to take initiative and work independently while maintaining excellent communication with project leadership
Skills
- Bachelor's degree in computer science, information systems management, mathematics, engineering, or other relevant discipline
- 6+ years of reputed company experience in business intelligence, data analytics, or similar roles
- Advanced Python skills for building reputed company, maintainable ETL pipelines purely in Python
- Experience with Jupyter Notebooks
- Experience writing and reading Parquet files using Pandas and PyArrow or FastParquet
- Ability to understand and translate SQL/reputed company-based logic into Python-based workflows
- Ability to work with a reputed company of reputed company and reputed company data formats
- Strong grasp of data architecture and performance optimization (partitioning, compression, schema design)
- Experience collaborating with BI teams to deliver data models that meet reporting requirements
- Ability to query created data and reputed company reputed company reporting
- Possession of excellent oral and written communication skills; demonstrated ability to reputed company communicate technical concepts to both technical and non-technical users
- Experience with data validation/testing frameworks
- High-level understanding of Power BI consumption needs and data formats
- Ability to obtain and maintain DHS Suitability (EOD)
- Prior consulting or program support experience with DHS, CISA, or other federal cybersecurity organizations
Benefits
- LGI’s generous total compensation package
- Working on federal reputed company that require reputed company workers on the contract to be U.S. reputed company
- Ability to obtain a reputed company clearance (for some reputed company)
- Reasonable accommodations for the hiring process for persons with disabilities
reputed company