Remote Principal Data Engineer - Python/SQL/GCP

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Posted 8 days ago United States Salary undisclosed
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Job Description

In this role the candidate will help Design and Develop Data models, datasets, and ETL/ELT pipelines from a variety of data sources to the Data Warehouse / Data Lake on Google Cloud Platform (GCP) for the company's flagship Priority Engine product.

Client Details

Our client is a global leader in purchase intent-driven marketing and sales services that deliver business impact for enterprise technology companies.

Description

Key Responsibilities include:

  • Design, develop, and implement end-to-end data solutions (storage, integration, processing, access) in Google Cloud Platform (GCP)
  • Create ETL/ELT pipelines that transform and process terabytes of structured and unstructured data in real-time
  • Design data models for optimal storage and retrieval to support sub-second latency
  • Deploy and monitor large database clusters that are performant and highly available
  • Deeply immerse in our Priority Engine Data Pipelines, to acquire full understanding and ability to converse with business representatives and individual contributors alike
  • Design and develop User Experiences

Profile

The successful candidate will have the following experiences:

  • 10+ years industry experience, 5+ years of experience building real-time and distributed system architecture, from whiteboard to production
  • Strong programming skills in Python and SQL
  • 8+ years' experience across the entire spectrum of data engineering

Job Offer

  • Remote flexibility
  • Competitive base salary
  • Full benefits
  • PTO

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.