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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and scaling Retrieval-Augmented Generation (RAG) pipelines, transforming unstructured data into optimized vector embeddings, and maintaining vector databases. Proficient in data pipeline development, data quality management, and effective communication with both technical and non-technical stakeholders.
Highest-signal resume keywords
Data Pipeline DevelopmentData MiningExtract-Transform-Load (ETL)Relational and NoSQL DatabasesCloud Platform Certification
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 MiningData StorageExtract-Transform-Load (ETL)Data Pipeline DevelopmentVector DatabasesData Quality ManagementKnowledge GraphsSemantic LayersData ModellingAutomated Data Guardrails
Soft Skills
Problem-SolvingAnalytical SkillsCritical ThinkingAttention to DetailCommunication Skills
Tools & Technologies
PineconeMilvusWeaviateGlueDatabricksSynapseDataprocPostgreSQLDB2MongoDB
Certifications & Qualifications
Open Certified Technical Specialist with Data Engineering SpecializationAWS Certified Data Analytics – SpecialtyElastic Certified EngineerGoogle Cloud Professional Data EngineerMicrosoft Certified: Azure Data Engineer Associate
Industry Keywords
Cloud ModernizationData EngineeringScientific DisciplineComputer ScienceSoftware EngineeringInformation Technology
Tech Stack
Tools & technologiesAWSAzureCloudETLMongoDBNoSQLPostgres
About the role
Key responsibilities & impact- Design and scale Retrieval-Augmented Generation (RAG) pipelines
- Transform unstructured IT logs and documentation into optimized vector embeddings
- Maintain the health and performance of vector databases such as Pinecone, Milvus, or Weaviate
- Build knowledge graphs and semantic layers for AI agents
- Create automated data guardrails to detect noise, bias, and personally identifiable information
- Identify and resolve data quality issues at the source
- Build, deploy, and maintain CI/CD pipelines for data infrastructure
- Ensure data context remains fresh and reliable
Requirements
What you’ll need- Legally authorized to work in the United States without restriction now and in the future
- Must be able to work at the Frisco office 5 days per week
- Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes
- Experience in data pipeline development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
- Experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB
- Excellent problem-solving, analytical, and critical thinking skills
- Ability to manage multiple projects simultaneously while maintaining attention to detail
- Ability to communicate with technical and non-technical colleagues and translate technical requirements from business needs
- Preferred: Experience as a Data Engineer and/or in cloud modernization
- Preferred: Experience in data modelling
- Preferred: Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization
- Preferred: Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
- Preferred: Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
- Preferred: Degree in a scientific discipline such as Computer Science, Software Engineering, or Information Technology
Benefits
Comp & perks- Discretionary annual bonus program based on performance
- Medical and dental coverage
- Disability benefits
- Retirement benefits
- Paid leave
- Paid time off
- Be Well programs supporting financial, mental, physical, and social health
- Learning opportunities and certifications with Microsoft, Google, and Amazon
- Coaching and hands-on experiences
- Personalized development goals and continuous feedback
- Flexible, supportive environment
- Hybrid-friendly culture