Horizontal Talent is looking for an experienced Senior GCP Data Engineer to join one of our esteemed clients . Horizontal Digital and Horizontal Talent. We are consistently recognized for being a top workplace and one of the fastest growing private companies. Horizontal Talent specializes in staffing for IT, Digital & Creative and Business & Strategy markets. Job Type: Contract-to-Hire (long-term project) Experience: 7+ Years ⏳ Preference will be given to immediate joiners . Design, build, and maintain scalable data pipelines and cloud-native data platforms on Google Cloud Platform (GCP) . Develop end-to-end ETL/ELT workflows for data ingestion, transformation, and storage. Work with BigQuery, Cloud Storage, Cloud Run, Data Fusion, Dataproc, Composer, and Pub/Sub . Build production-grade data solutions using SQL, Python, and PySpark . Optimize pipelines for performance, scalability, cost, and reliability. Implement monitoring, logging, alerting, and data-quality frameworks. Collaborate with Data Scientists, Analysts, DevOps, Platform Engineering, and business stakeholders. Follow CI/CD, GitHub, Agile, coding standards, and engineering best practices. Bachelor’s /Master’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related technical field.



Experience Requirements • 7+ years of total experience in data engineering, data platforms, or data‑centric software engineering. • 5+ years of hands‑on experience designing and building data pipelines, ETL/ELT workflows, and cloud‑native data solutions. • 3+ years of direct experience with Google Cloud Platform (GCP) using services such as BigQuery, Cloud Storage, Cloud Run, Datafusion, Dataproc, Composer, and Pub/Sub. • Advanced proficiency in SQL, Python, and PySpark for data processing and transformation. • Proven experience developing and supporting production‑grade, end‑to‑end cloud data pipelines. • Expertise in ELT/ETL design, performance optimization, and data transformation frameworks. • Solid background in monitoring, logging, alerting, and data quality frameworks across distributed systems. • Experience with DevOps tools and techniques, including CI/CD, GitHub, and related automation practices. • Demonstrated experience working in global, cross‑functional, and agile development environments. • Excellent communication, problem‑solving, and analytical skills with the ability to collaborate across technical and non‑technical teams. • Google Cloud Professional Data Engineer).

📌 Senior Data Engineer, ETL ( Remote) (Bengaluru)
🏢 Horizontal Talent
📍 Bengaluru