GCP Data Engineer

Job not on LinkedIn

🕒 November 4, 2025

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 39%

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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NextHire

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤝 B2B

👥 HR Tech

🎯 Recruiter

B2B • HR Tech • Recruitment

NextHire is a technology driven recruitment platform that enables companies to hire 2x faster with its advanced algorithms based on years of data. The leadership team has several decades of collective experience working for top product development companies in India. NextHire believes in breaking the conventional ideas that have been rooted in the staffing industry. The company provides end to end recruitment solutions and is developing tools to help shape the future of the recruitment industry, trusted by over 100 brands, MNCs, and startups.

📋 Description

• Design, build, and maintain scalable data pipelines and workflows. • Develop and optimize ETL/ELT processes using Python and workflow automation tools. • Implement and manage data integration between various systems, including APIs and Oracle EBS. • Work with Google Cloud Platform (GCP) or Google BigQuery (GBQ) for data storage, processing, and analytics. • Utilize Apache Spark or similar big data frameworks for efficient data processing. • Develop robust API integrations for seamless data exchange between applications. • Ensure data accuracy, consistency, and security across all systems. • Monitor and troubleshoot data pipelines, identifying and resolving performance issues. • Collaborate with data analysts, engineers, and business teams to align data solutions with business goals. • Document data workflows, processes, and best practices for future reference.

🎯 Requirements

• Strong proficiency in Python for data engineering and workflow automation. • Experience with workflow orchestration tools (e.g., Apache Airflow, Prefect, or similar). • Hands-on experience with Google Cloud Platform (GCP) or Google BigQuery (GBQ). • Expertise in big data processing frameworks, such as Apache Spark. • Experience with API integrations (REST, SOAP, GraphQL) and handling structured/unstructured data. • Strong problem-solving skills and ability to optimize data pipelines for performance. • Experience working in an agile environment with CI/CD processes. • Strong communication and collaboration skills.

🏖️ Benefits

• Competitive compensation and benefits • Professional growth opportunities with exposure to the latest technologies