Overview
Remote
$50 - $55
Contract - W2
Contract - 6 Month(s)
Skills
Data Flow
Cloud Computing
Collaboration
Communication
Conflict Resolution
Analytical Skill
Apache Hadoop
Apache Hive
Apache Spark
Business Analysis
Data Engineering
Data Manipulation
Google Cloud Platform
Insurance
NumPy
Pandas
Data Modeling
Database
Database Modeling
Good Clinical Practice
Google Cloud
Problem Solving
Production Support
Project Management
Python
SQL
STaaS
Scripting
Storage
Teamwork
Terraform
Virtual Machines
Writing
Job Details
Will need to take technical assessment as part of 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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