Hybrid Data Engineer

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About the role

  • Entry-level Data Engineer position for recent graduates focused on data engineering. Collaborate in optimizing data practices and solutions for the company.

Responsibilities

  • Work on modeling, collection, cleansing, and transformation of data from multiple sources;
  • Support the building and maintenance of data pipelines using ETL tools;
  • Collaborate with cross-functional 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’ requirements;
  • Help implement data governance policies to ensure data quality, security, and integrity;
  • Contribute to the documentation of processes and data flows;
  • Participate in data modeling for GenAI/AI solutions, structuring data for machine learning algorithms.

Requirements

  • Recent graduates from programs in Computer Science, Engineering, Information Systems, or related fields;
  • Basic knowledge desirable in agile methodologies, SQL, databases, Python (Pandas)/ETL tools, and data visualization tools;
  • 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

Location requirements

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