Data Engineer, DevOps

QSOFT

. Develop Python processes using a modular structure, separating functions, packages, and configuration.

Posted 10/9/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing modular Python processes and managing Apache Airflow DAGs, with strong capabilities in SQL and Oracle query writing. Proficient in version control using Git and managing deployments in Rancher or Kubernetes environments.

Highest-signal resume keywords

Python DevelopmentApache AirflowAdvanced SQLGit Version ControlRancher Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLOracleApache AirflowGitDevOpsRancherKubernetesDockerLinux

Soft Skills

Problem-Solving

Tools & Technologies

Apache Airflow 3DevOps PlatformVersion Control SystemsContinuous IntegrationContinuous Delivery

Industry Keywords

DAGsProduction EnvironmentChange ControlExecution PlansShell Scripting

Tech Stack

Tools & technologies

AirflowApacheDockerKubernetesLinuxOraclePythonSQL

About the role

Key responsibilities & impact

Develop Python processes using a modular structure, separating functions, packages, and configuration.
Build and maintain DAGs in Apache Airflow 3, including dependencies, retries, alerts, and failure handling.
Write advanced SQL and Oracle queries used by the processes.
Version-control code in Git using branches, pull requests, and reviews before promotion.
Track activities in the DevOps platform and promote changes across development, staging, and production through pipelines.
Manage execution in Rancher, including deployments, variables, secrets, log reviews, and controlled restarts.
Investigate failures using Airflow logs, Oracle queries, and container status.
Document process purposes, data sources and destinations, execution windows, and owners.

Requirements

What you’ll need

Experience developing organized Python code using modules, packages, and reusable functions.
Hands-on experience with Apache Airflow, including building and operating DAGs; experience with Airflow 2 will be considered.
Strong command of advanced SQL, with experience writing queries in Oracle.
Experience using Git and a DevOps platform throughout the development workflow, including activity tracking, branching, pull requests, code reviews, and pipelines.
Experience working with separate development, staging, and production environments.
Experience with Rancher or Kubernetes in an on-premises environment.
Strong problem-solving skills, with the ability to investigate the root causes of failures, analyze logs, and implement fixes without making direct changes in the production environment.
Nice to have: experience working with Apache Airflow 3 in a production environment; experience with continuous integration and continuous delivery pipelines for DAGs and Python packages; knowledge of Oracle performance and execution plans; experience with Docker images in a Rancher context; alert implementation; troubleshooting failures in processes with encapsulated code; experience in an on-premises environment with formal change control; knowledge of Linux and shell scripting.

Benefits

Comp & perks

Health Insurance with No Co-Payment
Dental Insurance
Life Insurance
Birthday Day Off
TotalPass
C4life
Meal Voucher
Flash Home Office Allowance
Alura Platform — 50% Off