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YSSY

Junior Data Engineer

YSSY

. Develop and maintain data ingestion, transformation, and loading pipelines (ETL/ELT) .

Posted 9/15/2026full-timeBarueri • BrazilJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in developing and maintaining ETL/ELT pipelines, with strong knowledge of SQL and Python for data analysis and processing. Experienced in working with Data Lakes, Data Warehouses, and Lakehouse architectures, while supporting DataOps and data quality best practices.

Highest-signal resume keywords
ETL/ELT ProcessesSQL DevelopmentPython ProgrammingData Lakes and Data WarehousesDataOps Implementation

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonETL ProcessesData ModelingData AnalysisData TransformationData LoadingVersion ControlData Quality Best PracticesRelational Database Concepts
Soft Skills
Analytical SkillsProblem-Solving SkillsTeam CollaborationProactive AttitudeResults-Oriented
Tools & Technologies
Git
Industry Keywords
Data EngineeringData PlatformsData ScienceAnalyticsArtificial IntelligenceMachine LearningGenerative AI

Tech Stack

Tools & technologies
ETLPythonSQL

About the role

Key responsibilities & impact
  • Develop and maintain data ingestion, transformation, and loading pipelines (ETL/ELT)
  • Build integration processes between different data sources
  • Develop SQL queries for data analysis and processing
  • Support the development and evolution of Data Lakes, Data Warehouses, and Lakehouse architectures
  • Work with large volumes of structured and semi-structured data
  • Participate in the enhancement of clients’ data platforms
  • Support the implementation of DataOps, version control, and data quality best practices
  • Collaborate with architects, analysts, data scientists, and developers
  • Document implemented processes, workflows, and solutions

Requirements

What you’ll need
  • Bachelor’s degree completed or in progress in Information Technology, Computer Science, Data Engineering, Information Systems, or related fields
  • Knowledge of SQL
  • Knowledge of Python
  • Knowledge of relational database concepts
  • Knowledge of ETL/ELT processes
  • Basic understanding of data modeling
  • Knowledge of Git
  • Strong analytical and problem-solving skills
  • Ability to work effectively in a team
  • Eagerness to learn new technologies and develop a career in Data & AI
  • Proactive, collaborative, and results-oriented profile
  • Preferred: knowledge of Data Lakes, Data Warehouses, or Lakehouse architectures
  • Preferred: familiarity with DataOps and data quality practices
  • Preferred: academic or professional experience with data projects
  • Preferred: interest in Analytics, Artificial Intelligence, Machine Learning, and Generative AI technologies and solutions

Benefits

Comp & perks
  • BIZ flexible benefits card
  • Alice Health Insurance
  • Amil Dental Insurance (optional)
  • Life Insurance
  • Public transportation allowance
  • Wellhub (formerly Gympass)
  • Childcare assistance for mothers and fathers
  • Apoio Pass employee assistance program