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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating large-scale data pipelines, with strong proficiency in Java and experience in data analysis and integration. Capable of collaborating effectively with cross-functional teams to deliver high-quality cybersecurity ratings.
Highest-signal resume keywords
Large-Scale Data Pipeline DevelopmentJava ProgrammingData Lakehouse Technology StackHadoop and Spark EcosystemsCI/CD and Kubernetes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AggregationData AnalysisData StructuresAlgorithmsPython ProgrammingElasticsearchOpenSearchApache IcebergAI Development ToolsCybersecurity Ratings
Soft Skills
Written CommunicationVerbal CommunicationCollaboration
Tools & Technologies
GitHub CopilotCursorLLMs
Industry Keywords
IT SecurityData IntegrityCloud Data Warehouses
Tech Stack
Tools & technologiesApacheCloudCyber SecurityElasticSearchHadoopJavaKubernetesPythonSpark
About the role
Key responsibilities & impact- Build and operate large-scale data pipelines
- Collect, aggregate, and analyze data at scale
- Architect and evolve the data pipeline to support larger volumes via cloud data warehouses
- Integrate new data sources
- Surface new features from existing data
- Refine the rating algorithm
- Collaborate with data science and research teams
- Build trust with customers in the quality and integrity of data
- Work with a close-knit engineering team across multiple locations
- Deliver reliable, scalable, actionable, intuitive, and responsive cybersecurity ratings
Requirements
What you’ll need- Prior experience building and operating large-scale data pipelines
- Strong proficiency in modern Java language programming
- Strong computer science fundamentals in design, data structures, and algorithms
- Experience working with a team of engineers, designers, and product owners in delivering a product to end-users
- Excellent (English) written and verbal communication skills
- Experience with Python preferred
- Experience with Hadoop and Spark ecosystems preferred
- Experience with Data Lakehouse technology stack, such as Apache Iceberg, preferred
- Experience with Elasticsearch or OpenSearch preferred
- Experience with CI/CD and Kubernetes preferred
- Experience with modern AI development tools, such as GitHub Copilot, Cursor, or LLMs, preferred
- Experience working in the IT security domain preferred
- Must be based in the United States
- Compliance with applicable citizenship and immigration-status employment laws
Benefits
Comp & perks- Medical, dental, and vision insurance
- Paid parental leave
- Flexible time off
- 401(k) plan with employee and company contribution opportunities
- Life and disability insurance
- Tuition reimbursement
- Bonus or commission plan eligibility
- Equity grant
- Reasonable accommodations for qualified individuals with disabilities or sincerely held religious beliefs
- Inclusive culture and career development opportunities
- AI-assisted transcription during the interview process
