GCP Platform Engineer

Job not on LinkedIn

🕒 October 5

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Marketscope

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1989

🎯 Recruiter

🤝 B2B

💼 Consulting

Recruitment • B2B • Consulting

Marketscope is a staffing and recruiting firm that uses a market research-driven approach to identify and place top talent, with a specialization in CXO-level and niche skill searches. The company focuses on helping professionals affected by layoffs or seeking vertical transitions, and designs recruitment strategies and frameworks tailored for startups and growth-stage organizations. Marketscope manages hiring across a broad set of domains—including BFSI, specialty chemicals, KPO/BPO/LPO, data infrastructure & analytics, ed-tech, manufacturing, media, non-profits, IT & telecom, VC/PE, supply chain & logistics, and R&D—aiming to connect people and possibilities and build strong leadership teams for clients.

📋 Description

• Support production of GCP data pipelines and workflows across batch and streaming workloads • Troubleshoot failures, data latency, performance and configuration issues • Work with Cloud Spanner, BigQuery, Dataflow, Pub/Sub and related GCP services • Optimize existing pipelines to improve data refresh times and reliability • Support platform/configuration upgrades and ensure environments remain compliant • Work with Data Engineering, BI and application teams on production issues and enhancements • Quickly understand existing systems and make practical improvements

🎯 Requirements

• 3–7 years of Data/Cloud Engineering experience with hands-on GCP • Strong SQL and Python skills • Experience with Spanner, BigQuery and batch/streaming pipelines • Good understanding of GCP IAM, monitoring, logging and production support • Strong troubleshooting mindset and ability to ramp up quickly in a complex environment • Exposure to Tableau/Looker, App Engine or AI/LLM applications is a plus