Hybrid Data Engineer

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About the role

  • Junior Data Engineer role aimed at recent graduates in computer science and engineering. Work on data modeling, pipeline building, and data governance.

Responsibilities

  • Intended for recent graduates from Computer Science, Engineering, Information Systems, and related fields who want to develop specifically in Data Engineering.
  • Our team operates in diverse contexts, always aiming to enhance decision-making and operational efficiency through the intelligent and innovative use of data.

Requirements

  • Work on modeling, collection, cleaning, and transformation of data from various sources;
  • Support the construction and maintenance of data pipelines using ETL tools;
  • Collaborate with multidisciplinary teams to understand and meet the business’s data needs;
  • Participate in the creation and optimization of databases, data lakes, and data warehouses;
  • Assist in defining and implementing data architectures that support clients’ needs;
  • Help implement data governance policies to ensure data quality, security, and integrity;
  • Contribute to the documentation of data processes and flows;
  • Participate in data modeling for GenAI/AI solutions, structuring data for machine learning algorithms.

Benefits

  • Graduates from Computer Science, Engineering, Information Systems, and related fields;
  • Basic knowledge of agile methodologies, SQL, databases, Python (Pandas)/ETL tools, and data visualization tools is desirable;
  • Knowledge of data architecture, cloud solutions, data storage structures (such as data lake/data warehouse/lakehouse), and AI/Gen AI models is a plus.

Job title

Data Engineer

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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