Data Engineer - Phoenix, AZ. Onsite. Must be expertise in Python3, Google Cloud Platform Fundamentals, Google Cloud Platform BigQuery, and Google Cloud Platform

  • Phoenix, AZ
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Attention To Detail
Cloud Computing
Collaboration
Communication
Conflict Resolution
Continuous Improvement
Data Analysis
Data Integration
Data Management
Data Processing
FOCUS
Geospatial Analysis
Good Clinical Practice
Google Cloud Platform
Management
Mentorship
Problem Solving
Project Management
Python
Specification Gathering
Storage
Training

Job Details

1.Job title : Data Engineer 2.Job summary : We are seeking a highly skilled Data Engineer with 10 to 14 years of experience to join our team. The ideal candidate will have expertise in Python3, Google Cloud Platform Fundamentals, Google Cloud Platform BigQuery, and Google Cloud Platform. This role involves working in a hybrid model with a day shift. The candidate will contribute to our geospatial projects, leveraging their technical skills to drive impactful solutions. 3.Experience : 10to14Yrs 4.Required Skills : ,Python3,Google Cloud Platform Fundamentals,Google Cloud Platform,Google Cloud Platform BigQuery 5.Nice to have skills : 6.Technology : -Not Applicable 7.Shift : Day 8.Responsibilities : - Develop and implement geospatial solutions using Python3 and Google Cloud Platform technologies. - Oversee the integration of geospatial data into BigQuery for efficient data analysis. - Provide technical expertise in Google Cloud Platform Fundamentals to optimize cloud-based geospatial applications. - Collaborate with cross-functional teams to design and deploy geospatial models. - Ensure data accuracy and integrity in all geospatial projects. - Lead the development of geospatial data pipelines to support various business needs. - Analyze complex geospatial datasets to extract meaningful insights. - Implement best practices for geospatial data management and storage. - Monitor and maintain geospatial applications to ensure optimal performance. - Troubleshoot and resolve technical issues related to geospatial systems. - Contribute to the continuous improvement of geospatial processes and methodologies. - Document technical specifications and project requirements for geospatial solutions. - Provide training and support to team members on geospatial technologies. -Qualifications - Possess strong proficiency in Python3 for geospatial data processing. - Demonstrate expertise in Google Cloud Platform Fundamentals for cloud-based geospatial solutions. - Have extensive experience with Google Cloud Platform BigQuery for geospatial data analysis. - Show ability to work effectively in a hybrid work model. - Exhibit excellent problem-solving skills in geospatial contexts. - Have a solid understanding of geospatial data integration and management. - Display strong communication skills to collaborate with cross-functional teams. - Hold a relevant certification in Google Cloud Platform or geospatial technologies. - Demonstrate a track record of successful geospatial project implementations. - Show commitment to continuous learning and staying updated with industry trends. - Have experience in developing and maintaining geospatial data pipelines. - Exhibit attention to detail and a focus on data accuracy. - Provide mentorship and guidance to junior team members on geospatial best practices.

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