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Be part of an amazing team as an

DATA MODELER

M/F 

International project, remote from Portugal

WHAT WE EXPECT YOU TO HAVE

  • Great team spirit, however also able to work independently;

  • Dynamism, persistence and problem-solving mindset;

  • Positive attitude facing challenges;

  • Ability to work in a fast-paced environment and to meet changing deadlines and priorities;

  • Good communication skills;

  • Fluent English.

WHAT CAN YOU EXPECT FROM US

  • Remote work for international projects and hybrid work on some national projects

  • Career development: Training, Certifications and tech internal and external webinars;

  • Possibility to work with international Gurus and innovative technological partners (Denodo, Wherescape, Snowflake, DataRobot, among others);

  • Several Team Building events (online and offline);

  • Birthday day off;

  • Health and well-being plan (health insurance, virtual classes with a PT, partnerships with gyms, among others);

  • Award for references;

  • Grow with a dynamic, motivated team with a high spirit of mutual help.

JOIN US

Join us | Your mission as Data Virualization Consultant

YOUR MISSION

To work closely with clients, to understand their needs, and to offer the best solution following the best practices.

Join us | Your tasks as Data Virtualization Consultant

YOUR TASKS

Depending on the project.

Join us | Your skills as Data Virtualization consultant

YOUR SKILLS

Be responsible for developing the conceptual, logical, and physical data models, implementing RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL);

Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-centre contexts required;

Good knowledge of metadata management, data modelling, and related tools (Erwin or ER Studio or others) is required;

Analysing and translating business needs into long-term solution data models;

Exposure to Data Vault implementation;

8 years of hands-on experience in data modelling;

2 years of hands-on experience in Data Vault modelling.

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