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Keyrus

Senior Data Engineer – AWS

Keyrus

Data Engineer at Keyrus responsible for developing data integration and processing solutions. Collaborating with teams to ensure quality and scalability in analytical environments.

Posted 7/18/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing data integration solutions, with a strong focus on data modeling, ETL/ELT processes, and scalable architectures. Proficient in utilizing Databricks and AWS services to ensure quality and performance in analytical environments.

Highest-signal resume keywords
Data Integration SolutionsETL/ELT DevelopmentData ModelingDatabricksAWS Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data WarehouseBig Data ProjectsRelational DatabasesNon-Relational DatabasesData PipelinesBatch ProcessingStreaming Data ProcessingScalable ArchitecturesMessaging Solutions
Soft Skills
Communication SkillsOrganizational SkillsAutonomy
Tools & Technologies
DatabricksAWS
Industry Keywords
Business IntelligenceData IntegrationData SolutionsBest PracticesAnalytical Environments

Tech Stack

Tools & technologies
AWSETL

About the role

Key responsibilities & impact
  • Responsible for designing, developing and evolving data integration and processing solutions.
  • Ensure quality, scalability and performance in modern analytical environments.

Requirements

What you’ll need
  • Experience in Business Intelligence, Data Warehouse and Big Data projects.
  • Strong knowledge of data modeling.
  • Experience with relational and non-relational databases.
  • Experience developing data pipelines, ETL/ELT and data integration.
  • Knowledge of batch and streaming data processing.
  • Experience with scalable architectures and messaging solutions.
  • Hands-on experience with Databricks and AWS services.
  • Ability to define standards, best practices and architectures for data solutions.
  • Good communication, organizational skills and autonomy to work on high-complexity projects.
  • Interest in innovation and continuous learning, staying up to date with Data and Artificial Intelligence market trends.

Benefits

Comp & perks
  • Remote work flexibility
  • Opportunities for professional growth
  • Collaborative environment
  • Culture of diversity and inclusion