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Senior Data Engineer
Redica SystemsCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, building, and optimizing scalable ETL/ELT pipelines and APIs, with a strong focus on integrating data pipelines with NLP/ML services and the ELK stack. Proven ability to troubleshoot data quality issues and support production deployments while mentoring fellow engineers.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentData Quality TroubleshootingNLP/ML IntegrationELK Stack ExperienceTechnical Design Contributions
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, build, optimize, and maintain scalable ETL/ELT pipelines, APIs, and microservices for high-volume regulatory and health agency datasets
- Troubleshoot data quality issues and implement automated testing, monitoring, and validation
- Contribute to technical design and architectural decisions for the data platform
- Integrate data pipelines with downstream NLP/ML services and search technologies, including the ELK stack
- Support production deployments and troubleshoot pipeline and database issues
- Resolve complex technical incidents
- Collaborate with Engineering and Product teams to translate requirements into technical solutions
- Mentor fellow engineers
- Contribute to code reviews and provide technical guidance
Requirements
What you’ll need- Experienced Senior Data Engineer
- Ability to design, build, optimize, and maintain scalable ETL/ELT pipelines, APIs, and microservices
- Experience working with high-volume regulatory and health agency datasets
- Ability to troubleshoot data quality issues
- Experience implementing automated testing, monitoring, and validation
- Ability to contribute to technical design and architectural decisions
- Experience building scalable, maintainable data platform solutions
- Experience integrating data pipelines with downstream NLP/ML services and search technologies
- Experience with the ELK stack
- Ability to support production deployments and troubleshoot pipeline and database issues
- Ability to resolve complex technical incidents
- Ability to collaborate with Engineering and Product teams
- Ability to anticipate and adopt technology innovations
- Ability to synthesize complex information and develop effective problem-solving strategies
- Ability to make timely, high-quality decisions
- Ability to optimize ETL processes and data warehousing
- Ability to continuously improve performance and meet data-related deliverables
Benefits
Comp & perks- Employees can work remotely
- Mentorship opportunities
- Opportunities to contribute to code reviews and provide technical guidance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL DevelopmentELT DevelopmentAPI DevelopmentMicroservices ArchitectureAutomated TestingData ValidationData Platform SolutionsData Warehousing OptimizationPerformance ImprovementTechnical Incident Resolution
Soft Skills
CollaborationMentoringProblem-SolvingDecision-MakingSynthesis of Complex Information
Tools & Technologies
ELK StackNLP ServicesML ServicesData Monitoring ToolsData Quality Tools
Industry Keywords
Regulatory DatasetsHealth Agency DatasetsData EngineeringData Pipeline IntegrationTechnical Architecture