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Data Engineer

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Experience with Tableau or Looker., Proficiency in data modeling concepts., Strong technical understanding of Google Cloud Platform (GCP)., Knowledge of data integration methodologies..

Key responsabilities:

  • Manage data artifacts for integration.
  • Develop Component Data Artifacts (CDAs).
  • Implement data normalization concepts and efficiently query data.
  • Collaborate closely with GCP engineers and platform teams.

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emagine Large https://www.emagine.org/
501 - 1000 Employees
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Job description

PROJECT INFORMATION:

Industry: Banking

Location: Remote

Type of assignment: B2B

RESPONSIBILITIES:

As a Data Engineer, your core responsibility will be to manage data artifacts for integration.

  • Develop Component Data Artifacts (CDAs).
  • Break down Master Data Artifacts (MDAs) and Global Data Artifacts (GDAs) into CDAs for integration.
  • Focus on data modeling, data reuse, and understanding data domains.
  • Implement data normalization concepts.
  • Efficiently query data and prepare it for integration into the data lake using Juniper pipelines.

REQUIREMENTS:

  • Experience with Tableau or Looker.
  • Proficiency in data modeling concepts.
  • Strong technical understanding of Google Cloud Platform (GCP).
  • Experience with data normalization techniques.
  • Knowledge of data integration methodologies.

NICE TO HAVE:

  • Experience with Apache Airflow or Hadoop.
  • Understanding of Juniper pipelines.
  • Knowledge of refinery data processes.

OTHER DETAILS:

  • The Data Engineer will collaborate closely with GCP engineers and platform teams.
  • This role focuses on ensuring effective management of data modeling and reuse across various platforms.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

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