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Google Cloud_Tech lead

  • Full Time, onsite
  • Lorven Technologies, Inc.
  • On Site, United States of America
Salary undisclosed

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Hi,

Our client is looking Google Cloud_Tech lead (Google Cloud Platform Lead) for Long Term Contract project in Chicago,IL below is the detailed requirements.

Kindly share your updated resume to proceed further.

Job Role: Google Cloud_Tech lead (Google Cloud Platform Lead)

Location: Chicago,IL

Duration: Long Term

Job Description:

  • Bachelor's degree in Computer science or equivalent, with minimum 10+ Years of relevant experience.
  • Must have strong Cloud Proficiency : Google Cloud Platform (Google Cloud Platform) services, such as BigQuery, Cloud Run, Cloud Storage, Pub/Sub, Workflows, IAM, Etc .
  • Good Understanding of cloud-native solutions and architecture is critical.
  • You should have a Data Engineering Transformation Tools: Familiarity with data integration tools Cloud Composer (based on Apache Airflow) , Dataflow , Cloud Run.
  • Must have Programming Languages/Infrastructure as Code/ Code Management : Strong knowledge of languages commonly used in data engineering, such as Python, SQL ,Terraform, CI/CD , Git flows, Attunity , AutoSys
  • Good Experience in Data Modeling and ETL Processes: Ability to design robust data models and develop efficient ETL (Extract, Transform, Load) processes, ensuring data quality and consistency.
  • Must have Monitoring and Optimization: Very imp - Skills in monitoring data pipelines and Google Cloud Platform resources using Stack driver (Google Cloud Operations Suite), and optimizing performance and cost.
  • Problem-Solving/Debugging Skills: Very imp - Strong troubleshooting and problem-solving skills to quickly resolve issues that arise during production. Which includes reviewing log , working with networking , security , IAM , DBAs.
  • Communication Skills: Effective communication skills for collaborating with global teams, including clear documentation practices and the ability to convey technical details to non-technical stakeholders.
  • Automation: Experience in automating routine data processing tasks using scripts and Google Cloud Platform tools to improve efficiency and reliability.
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