Google Cloud Platform - Cloud Data Engineer

  • Dallas, TX
  • Posted 15 days ago | Updated 11 hours ago

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

GCP
Kubernetes
Google Cloud Platform
Python
Terraform
Data Flow
Extract
Transform
Load
Big Data
Google Cloud
Data Processing

Job Details

Google Cloud Platform Cloud Data Engineer

Irving, TX / Tampa, FL / Basking Ridge, NJ ( Hybrid Mode )

Long Term Contract

W2 Contract / S Corp

You'll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Experience performing detailed analysis of business problems and technical environments and designing the solution.
  • Experience with architecting real time streams processing systems with high volume and low latency data sets.
  • Experience with End-to-End design of data pipeline from ingestion to curation.
  • Experience in data modelling with data product mindset.
  • Experience working with Google Cloud Platform & BigQuery, data processing, data flow.
  • Experience working with Big data Technologies & Utilities - python / Spark/ Scala/ Kafka/ NiFi.
  • Experience in unstructured data processing (PDFs / PPTs/ docs/ Audio/ Video etc )
  • Hands on implementation experience in vectorDB ( Elastics Search / Spanner / Vector.AI etc) will be plus
  • Experience in graphDB and graphQL on Neo4J / spanner graph for traversals.
  • Knowledge of Data Analytics and modelling tools.

 

Even better if you have any one or more of the following:

  • Knowledge of Telecom and Network
  • Master’s degree in Computer Science or a related field.
  • Contributed to Open-Source Data Warehousing.
  • Certifications in any Data Warehousing/Analytical solutioning.
  • Certifications in Google Cloud Platform.
  • Ability to clearly articulate the pros and cons of various technologies and platforms.
  • Experience collaborating with multi-functional teams and managing partner expectations.
  • Written and verbal communication skills.
  • Ability to work in a fast-paced agile development environment
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