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NCS

Mid-Level/Senior Data Engineer

NCS

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

Posted 10/9/2026full-timeSão Paulo • BrazilSeniorWebsite

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 using cloud services and data integration tools, while ensuring data performance, security, and governance best practices. Proficient in SQL, Python for data engineering, and familiar with orchestration and monitoring tools.

Highest-signal resume keywords
Cloud Data Services (AWS, GCP, Azure)Data Integration and Transformation Tools (Qlik Replicate, Talend, IICS)Intermediate to Advanced SQL SkillsPython for Data EngineeringData Architecture and Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentData ModelingSQLPythonData IntegrationData TransformationVersion Control (Git)CI/CDOrchestration Tools (Airflow, Dagster)Pipeline Observability
Tools & Technologies
DatabricksSnowflakeQlik ComposeTalendIICSIDMC
Certifications & Qualifications
AWS CertificationGCP CertificationAzure CertificationQlik CertificationInformatica CertificationDatabricks CertificationSnowflake Certification
Industry Keywords
Data LakesData WarehousesData GovernanceData QualityData Performance

Tech Stack

Tools & technologies
AirflowAWSAzureGoogle Cloud PlatformInformaticaPythonSQL

About the role

Key responsibilities & impact
  • Develop and maintain data pipelines in cloud and/or on-premises environments
  • 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.)
  • Experience with data integration and transformation tools (Qlik Replicate, Qlik Compose, Talend, IICS, IDMC, etc.)
  • Intermediate to advanced SQL skills (advanced for senior-level candidates)
  • Python focused on data engineering
  • Experience with Databricks, Snowflake, or similar technologies
  • Familiarity with version control (Git), CI/CD, and automation
  • Conceptual knowledge of data architecture and governance, applying best practices to projects
  • Experience with dbt is a plus
  • Certifications in AWS, GCP, Azure, Qlik, Informatica, Databricks, or Snowflake are a plus
  • Experience with pipeline observability and monitoring is a plus
  • Experience with orchestration tools (Airflow, Dagster, etc.) is a plus

Benefits

Comp & perks
  • Meal and food allowance (flexible card)
  • Transportation allowance, if required
  • On-site parking
  • Medical insurance with private-room coverage
  • Life insurance
  • Partnerships with educational and language institutions
  • Childcare assistance
  • Work on strategic Data & Analytics projects with a real impact on the business
  • Join a team that values collaboration and close partnership in every delivery
  • Grow in an environment where friendship and professionalism go hand in hand