GCP Data Engineer

LTM

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Python and GCP Bigtable
  • Proven ability to design and implement serverless cloud solutions
  • Strong understanding of data modeling and large-scale data storage
  • Experience collaborating with cross-functional teams
  • Knowledge of security best practices in cloud deployments
  • Familiarity with GCP advancements and industry trends

Responsibilities

  • Architect and implement serverless cloud solutions using GCP Bigtable and Python
  • Design data models and manage large-scale data storage with GCP Bigtable
  • Troubleshoot and resolve issues related to cloud functions and associated services
  • Collaborate with DevOps teams to automate deployment and monitoring of cloud functions
  • Drive continuous improvement initiatives to enhance cloud infrastructure and application performance
  • Mentor and support team members in adopting best practices for Python and GCP development
  • Engage with stakeholders to translate business requirements into technical solutions

Benefits

  • Opportunities for professional development and growth
  • Collaborative work environment
  • Access to the latest GCP technologies
  • Flexible work arrangements
  • Emphasis on security and best practices in cloud deployment
Full Job Description
Role description

GCP Data Enginner

New York, New York Onsite

Job Summary

Seeking a Specialist with 5 to 7 years of experience in Python and GCP Bigtable to design develop and optimize scalable serverless cloud solutions

Job Description

Develop and maintain serverless applications using Python and GCP Bigtable Design and implement scalable data storage solutions leveraging GCP Bigtable Collaborate with crossfunctional teams to build cloudnative architectures Optimize cloud solutions for performance scalability and cost efficiency Integrate various GCP services to enhance data processing capabilities Ensure adherence to security best practices in cloud deployments Stay updated with the latest GCP advancements and industry trends

Roles and Responsibilities

Architect and implement serverless cloud solutions using GCP Bigtable and Python Design data models and manage largescale data storage with GCP Bigtable Troubleshoot and resolve issues related to cloud functions and associated services Collaborate with DevOps teams to automate deployment and monitoring of cloud functions Drive continuous improvement initiatives to enhance cloud infrastructure and application performance Mentor and support team members in adopting best practices for Python and GCP development Document technical designs processes and best practices for knowledge sharing Engage with stakeholders to understand business requirements and translate them into technical solutions

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