Sr.Google Cloud Platform Engineer - W2 - 100% Remote

  • Posted 17 hours ago | Updated 17 hours ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Google Cloud Platform
Google Cloud
Terraform
Database Modeling
Apache Hadoop
Apache Hive
Apache Spark
NumPy
Pandas
Python
SQL
STaaS
Insurance

Job Details

Position: Google Cloud Platform Engineer

Location: Remote

Contract: 6-month contract

Job Summary

100% remote

Will need to take the technical assessment as part of the interview process

Top 3 Skills - Knowledge of Google Cloud Platform environment, Terraform development exp, and database modeling exp

Job Description

We are looking for a Google Cloud Platform Engineer for a 6-month, fully remote contract opportunity. The selected candidate will be responsible for the definition, development, and implementation of new systems, and major enhancements to existing systems, as well as production support for systems with high complexity.

What You ll Do

  • Utilize expertise in Google Cloud Platform (Google Cloud Platform) and data engineering tools like Apache Spark, Hadoop, and Hive to drive innovative solutions and ensure robust system functionality

  • Provide project leadership for major feasibility or business systems analysis studies

  • Design and implement cloud-based data engineering solutions using Google Cloud Platform services such as Google Cloud Storage, BigQuery, and Cloud SQL

  • Offer production support for highly complex systems, troubleshooting issues, and optimizing performance

  • Conduct data preprocessing and feature engineering tasks using Google Cloud Platform tools like Cloud Dataflow and BigQuery

What You ll Need

Required

  • Bachelor s Degree or additional years of experience

  • 5-7+ years of Terraform development experience

  • Experience with Google Cloud Platform (Google Cloud Platform)

  • Experience with data engineering tools and technologies, such as Apache Spark, Hadoop, or Hive

  • Experience with Hadoop and Hive

  • Experience with Spark and PySpark

  • Familiarity with cloud computing concepts, such as virtual machines, storage, and networking

  • Experience with cloud-based data engineering tools and services

  • Experience with Google Cloud Platform (Google Cloud Platform)

  • Familiarity with Google Cloud Platform services, such as Google Cloud Storage, Cloud Functions, Pub/Sub, Cloud Scheduler, Cloud Run, BigQuery, and Cloud SQL

  • Experience with Google Cloud Platform APIs and SDKs

  • Familiarity with data modeling and database design

  • Strong SQL skills

  • Strong problem-solving and analytical skills

  • Excellent communication and teamwork skills

Preferred

  • Experience writing Python scripts for data engineering tasks

  • Familiarity with Python libraries for data manipulation and analysis, such as NumPy, Pandas, and SciPy

  • Healthcare or insurance background

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