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NCS

Data Engineer – dbt

NCS

. Develop and maintain data pipelines in cloud and/or on-premises environments .

Posted 10/14/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in developing and maintaining data pipelines, utilizing cloud data services, and implementing dbt transformation models. Proficient in SQL, Python, and data integration tools, with a strong focus on data architecture and governance best practices.

Highest-signal resume keywords
Cloud Data Services (AWS, GCP, Azure)Dbt Transformation ModelsSQL (Intermediate to Advanced)Data Integration and Transformation ToolsData Architecture and Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentSQLPythonData ModelingData TransformationVersion Control (Git)CI/CDAutomationPipeline ObservabilityMonitoring
Soft Skills
CollaborationCommunication
Tools & Technologies
DatabricksSnowflakeQlik ReplicateQlik ComposeTalendIICSIDMC
Certifications & Qualifications
AWS CertificationGCP CertificationAzure CertificationQlik CertificationInformatica CertificationDatabricks CertificationSnowflake Certification
Industry Keywords
Data LakesData WarehousesData QualityData GovernanceBest Practices

Tech Stack

Tools & technologies
AWSAzureGoogle Cloud PlatformInformaticaPythonSQL

About the role

Key responsibilities & impact
  • Develop and maintain data pipelines in cloud and/or on-premises environments
  • Build and maintain dbt transformation models, including tests, documentation, and version control
  • Work with data integration, transformation, and quality tools
  • Support data modeling for Data Lakes and Data Warehouses
  • Ensure best practices in data performance, security, and version control
  • Collaborate with data analysts, engineers, and architects to deliver end-to-end solutions

Requirements

What you’ll need
  • Experience with cloud data services (AWS, GCP, Azure, etc.)
  • Hands-on experience with dbt (models, tests, macros, and documentation)
  • Experience with data integration and transformation tools such as Qlik Replicate, Qlik Compose, Talend, IICS, and IDMC
  • Intermediate to advanced SQL (advanced level required for senior positions)
  • Python for data engineering
  • Experience with Databricks, Snowflake, etc.
  • Familiarity with version control (Git), CI/CD, and automation
  • Conceptual knowledge of data architecture and governance, applying best practices in projects
  • Certifications in AWS, GCP, Azure, Qlik, Informatica, Databricks, or Snowflake are desirable
  • Experience with pipeline observability and monitoring is desirable

Benefits

Comp & perks
  • Market-competitive salary
  • VA/VR (flexible benefits card)
  • Transportation allowance, if required
  • On-site parking
  • Health insurance with private-room coverage
  • Life insurance
  • Partnerships and discounts with educational and language institutions
  • Childcare assistance
  • Strategic Data & Analytics projects with a real business impact
  • Collaborative environment and growth opportunities