Senior GCP Data Engineer

Job not on LinkedIn

🕒 February 10

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 53%

What it means: the chance that no one is really hiring for this job.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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Think Future Technologies

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2006

💼 Consulting

🏭 Manufacturing

📦 Logistics

Consulting • Manufacturing • Logistics

Think Future Technologies is a leading provider of technology talent and services based in Gurgaon, India, with additional delivery centers in Bhopal and Bangalore. With over twelve years of experience, the company offers a comprehensive range of services, including software testing, automation testing, development in AI, blockchain, IoT, and mobile applications, as well as UI/UX design and DevOps solutions. They focus on enhancing business operations and product engineering for clients across various global geographies.

📋 Description

• Design, build, and own scalable data platforms on Google Cloud • Drive end-to-end data solutions, defining best practices, and mentoring team members • Work closely with stakeholders, analysts, and data scientists to deliver reliable, high-performance data pipelines and analytics platforms

🎯 Requirements

• 5+ years of experience in GCP Data Engineering • Strong hands-on experience with GCP services such as: BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Cloud Composer (Airflow), Cloud Functions / Cloud Run • Experience designing batch and streaming data pipelines • Expertise in data warehousing and analytics architectures • Advanced proficiency in Python (data processing, orchestration, APIs, automation) • Strong command of SQL (complex queries, performance tuning, analytics use cases) • Experience defining data platform architecture, patterns, and best practices • Strong understanding of data modeling, partitioning, clustering, and optimization • Ability to translate business requirements into technical designs

🏖️ Benefits

• 4.4 Glassdoor Rating • Fully remote work environment • Exposure to cutting-edge technologies and international clients spanning various industries • Opportunities to engage in diverse projects and technologies, with cross-domain training and support for career or domain transitions, including certifications reimbursement • Profitable and bootstrapped company • Flexible working hours with a 5-day workweek • Over 30 paid leaves annually • Merit-based compensation with above-average annual increments • Sponsored team luncheons, festive celebrations, and semi-annual retreats

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