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americanas s.a.

Mid-level Data Engineer – Data Platform

americanas s.a.

Engenheiro de Dados desenvolvendo e mantendo pipelines para a Americanas, uma das maiores varejistas brasileiras. Aplicando governança, qualidade, CI/CD e documentação técnica em ambiente híbrido.

Posted 8/17/2026full-timeRio de Janeiro • 🇧🇷 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 engineering pipelines using cloud data platforms like GCP, along with proficiency in SQL and programming languages such as Python, Scala, or Java. Familiarity with CI/CD processes, workload management tools, and agile methodologies is essential for ensuring high-quality data flows and processes.

Highest-signal resume keywords
GCP Cloud Data PlatformsSQL ProgrammingPython ProgrammingCI/CD ProcessesAirflow Workload Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonScalaJavaCI/CDData QualityDBTPub/SubDockerAgile Methodologies
Tools & Technologies
AirflowDatadogGrafanaKibanaCloud Logging
Industry Keywords
Data EngineeringDevelopment Best PracticesGovernance GuidelinesTechnical DocumentationMessaging Architectures

Tech Stack

Tools & technologies
AirflowCloudDockerGoogle Cloud PlatformGrafanaJavaPythonScalaSQL

About the role

Key responsibilities & impact
  • Develop and maintain data engineering pipelines and processes, following governance guidelines and development best practices
  • Promote and share development standards, best practices, and quality criteria with peers in the Data team
  • Create and maintain technical documentation for the implemented data flows and processes

Requirements

What you’ll need
  • Proficiency with cloud data platforms, preferably GCP
  • Experience with SQL and programming languages such as Python, Scala, or Java
  • Experience with code versioning tools and CI/CD processes
  • Experience with workload management and orchestration tools, such as Airflow and Workflows
  • Knowledge of Docker or similar container technologies
  • Familiarity with monitoring tools for metrics, applications, and logs, such as Datadog, Grafana, Kibana, Cloud Logging, and log-based metrics
  • Knowledge of agile methodologies such as Scrum and Kanban
  • Plus: experience with Data Quality processes
  • Plus: experience with maintenance and support of CI/CD pipelines
  • Plus: knowledge of messaging architectures and flows
  • Plus: knowledge of DBT (Data Build Tool)
  • Plus: experience with publish/subscribe flows using Pub/Sub

Benefits

Comp & perks
  • Meal allowance
  • Bradesco health insurance
  • Amil dental plan
  • Wellhub
  • Life insurance
  • Salary proposal aligned with the company's compensation plan, candidate salary expectations, and technical evaluation
  • 180 days of maternity leave
  • 20 days of paternity leave
  • Discounts at physical stores after the probation period
  • Collaborative work environment
  • Employment under CLT (Brazilian labor regime) with associated benefits