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MidLevel Data Engineer (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Brazil)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
c1
Π‘Ρ‚Ρ€Π°Π½Π°
Brazil
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
MidLevel Data Engineer (Python/SQL): Developing and maintaining data pipelines for ingestion, transformation, and processing with an accent on Python, SQL, data quality, and reliability. Focus on optimizing pipeline performance, troubleshooting data workflows, and supporting deployment through Git and CI/CD practices.

Location: Brazil; remote home office

Company

CI&T delivers AI deployment, application modernization, data and AI, Martech, and business strategy solutions for global enterprise clients.

What you will do

  • Develop and maintain data pipelines for ingestion, transformation, and processing.
  • Build and optimize data solutions using Python and SQL.
  • Transform data from diverse sources for downstream consumption.
  • Monitor, troubleshoot, and improve pipeline performance and reliability.
  • Use Git and CI/CD practices to support development and deployment workflows.
  • Collaborate with Data Engineers, Analysts, and stakeholders to deliver effective data solutions.

Requirements

  • Experience as a Data Engineer, Data Developer, or in a similar data-focused role.
  • Strong Python and SQL skills.
  • Hands-on experience developing and maintaining data pipelines.
  • Experience with Git, GitHub, and CI/CD practices.
  • Advanced or fluent English at C1 level or higher, including communication with international stakeholders.
  • Good problem-solving, analytical, and collaboration skills.

Nice to have

  • Experience with Azure and its data services.
  • Experience with Databricks.
  • Knowledge of PySpark.
  • Familiarity with cloud-based data platforms and modern data engineering practices.

Culture & Benefits

  • Work on data-driven transformation projects for global clients.
  • Exposure to modern cloud and data technologies.
  • Collaborative environment focused on continuous learning and technical growth.
  • Opportunity to contribute to challenging data solutions and meaningful business outcomes.

Hiring process

  • Complete and present an assessment during the selection process.
  • Support is available for obtaining the assessment if needed.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’