QSOFT
QSOFT
QSOFT is a data and AI consulting firm that helps enterprises turn complex data into useful insight and modernize the platforms behind data-driven decisions. Its work spans data strategy and governance, analytics, business intelligence and self-service tools, AI and AutoML, and custom data projects. QSOFT also provides delivery squads, support, and training, and builds practical outputs such as dashboards and predictive models. The company works with major data technology vendors and serves organizations in sectors including automotive, healthcare, retail, and industry.

Data Engineer, DevOps (Hybrid)

Build and operate data workflows with Python, Airflow, Oracle, and Rancher. Manage version control, pipelines, and controlled releases across environments.

Description

  • Develop modular Python processes with clear separation of functions, packages, and configuration.
  • Build and maintain Apache Airflow 3 DAGs, including dependencies, retries, alerts, and failure handling.
  • Write advanced SQL and Oracle queries to support data processes.
  • Manage code in Git through branches, pull requests, and reviews before promotion.
  • Track work in the DevOps platform and move changes through development, staging, and production pipelines.
  • Run workloads in Rancher by managing deployments, variables, secrets, logs, and controlled restarts.
  • Diagnose failures using Airflow logs, Oracle queries, and container status.
  • Document process purposes, data sources and destinations, execution windows, and owners.

Requirements

  • Experience writing well-organized Python using modules, packages, and reusable functions.
  • Practical experience building and operating Apache Airflow DAGs; Airflow 2 experience is also considered.
  • Strong advanced SQL skills, including writing Oracle queries.
  • Experience using Git and a DevOps platform across the development workflow, including activity tracking, branching, pull requests, code reviews, and pipelines.
  • Experience working across separate development, staging, and production environments.
  • Experience with Rancher or Kubernetes in an on-premises environment.
  • Strong troubleshooting skills, including finding the root cause of failures, analyzing logs, and implementing fixes without making direct production changes.
  • Preferred: production experience with Apache Airflow 3; CI/CD pipelines for DAGs and Python packages; Oracle performance and execution plans; Docker images in a Rancher context; alert setup; troubleshooting processes with encapsulated code; formal change control in an on-premises environment; Linux and shell scripting.

Benefits

  • Health insurance with no co-payment
  • Dental insurance
  • Life insurance
  • Birthday leave
  • TotalPass
  • C4life
  • Meal voucher
  • Flash home office allowance
  • 50% discount on the Alura platform

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