Lorven Technologies Inc.

Lorven Technologies Inc.

Lead Google Cloud Platform Data Engineer

Charlotte, Mecklenburg County · Senior

Sponsorship not specifiedDetected 128 days ago
SQLGCPCloud PlatformsData Engineering

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Hi Our client is looking for a Lead Google Cloud Platform Data Engineer project in Charlotte, NC below is the detailed requirement. Job positing Title: Lead Google Cloud Platform Data Engineer Location: Charlotte, NC Required Skills: Google Cloud Platform,SQL,Data Warehousing Job description: • Bachelor's degree in related field • Total years of data
  • engineering experience 10 to 12 years with relevant Google Cloud Platform experience 3 to 4 years • Lead Data Engineer with experience in solution…

Requirements

  • Bachelor's degree in related field

Skills

  • Google Cloud Platform,SQL,Data Warehousing
  • Job positing Title:
  • Google Cloud Platform Data Engineer Location:
  • Total years of data engineering experience 10 to 12 years with relevant Google Cloud Platform experience 3 to 4 years

This listing is sourced directly from Lorven Technologies Inc.'s careers page and normalized into a canonical job model.