Demo

Data Engineer and BI Professional

Genesis10
Brooklyn, OH Full Time
POSTED ON 4/3/2025
AVAILABLE BEFORE 5/2/2025
Genesis10 is seeking a highly skilled Senior Data Engineer to join our team as a GCP & BI Development specialist for a 6-month remote contract position. In this role, you will be responsible for designing, developing, and implementing cutting-edge data solutions on Google Cloud Platform (GCP) and Business Intelligence (BI) tools.

You will collaborate with cross-functional teams to integrate data systems and ensure seamless data flow. Additionally, you will analyze complex data sets to identify trends, patterns, and insights that inform business decisions. This is an exciting opportunity to join a leading consulting firm and contribute to the development of innovative data solutions.

About the Role:

As a Senior Data Engineer, you will work closely with stakeholders to understand requirements and deliver data-driven solutions. You will have the opportunity to work on a variety of projects and contribute to the growth and success of our organization.

Key Responsibilities:

  • Design, develop, and implement scalable data pipelines and architectures on GCP.
  • Collaborate with cross-functional teams to integrate data systems and ensure seamless data flow.
  • Analyze complex data sets to identify trends, patterns, and insights that inform business decisions.
  • Develop and maintain high-quality code using Python, SQL, and other relevant programming languages.
  • Work closely with stakeholders to understand requirements and deliver data-driven solutions.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • Minimum 5 years of experience in data engineering, data science, or a related field.
  • Extensive knowledge of GCP services, including BigQuery, Cloud Storage, and Cloud Data Fusion.
  • Experience with data warehousing, ETL processes, and data visualization tools like Tableau or Power BI.
  • Strong understanding of database design principles, data modeling, and data governance.

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