[Job 23655] MidLevel Data Engineer, Brazil

Work set-up: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Brazil

Offer summary

Qualifications:

Proficiency in designing and building data pipelines using modern data stack technologies., Experience with relational and non-relational databases., Knowledge of cloud platforms like Google Cloud and Azure., Strong understanding of data quality, governance, and documentation practices..

Key responsibilities:

  • Design, develop, and maintain ETL/ELT processes for data integration.
  • Build and optimize data pipelines and data lakes.
  • Collaborate with stakeholders to ensure data quality and availability.
  • Support big data solutions, streaming, and batch data processing.

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Ci&T
5001 - 10000 Employees
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Job description

We are looking for a MidLevel Data Engineer to join our team and help design, build, and optimize data pipelines that support key business decisions. You will work with modern data architectures, ensuring scalability, performance, and reliability of data solutions across different platforms.

Responsibilities:
Design, develop, and maintain ETLELT processes to integrate data from multiple sources.
Build and optimize data pipelines and data lakes using modern data stack technologies.
Work with relational and nonrelational databases to ensure efficient data storage and retrieval.
Implement and maintain solutions on Google Cloud and Azure platforms.
Collaborate with data analysts, data scientists, and other stakeholders to ensure data availability and quality.
Contribute to the development of big data solutions and support streaming and batch data processing.
Use version control tools like Git to manage codebase and ensure best practices.
Ensure data quality, governance, and documentation are in place for all solutions delivered.

Nice to have
Experience with Airbyte for data integration and Airflow for orchestration.
Familiarity with Power BI or Tableau for dashboarding and visualization.
Knowledge of data streaming frameworks and realtime data processing.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Google Cloud Platform (GCP)Microsoft AzureETL (Extract Transform Load)Data ArchitectureNon-Relational Data StoresGit (Version Control System)Relational DatabasesData LakesApache AirflowData StreamingPower BITableau (Business Intelligence Software)Computer SystemsAirbyte

Other Skills

  • Collaboration
Are you interested?

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