Data Engineer

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:

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

NICE TO HAVE:

• 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.