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GCP Data Engineer

GCP Data Engineer

Xsell ResourcesDelhi, IN
18 hours ago
Job description

#offshorejobs #india #remotework #GCPDataengineer

Seeking a GCP Certified Data Engineer to work remotely from India for our Fortune 5 healthcare client in the US.

Remote work from India

2nd shift work hours

Must be immediate joiner. No notice periods more than 15 days.

Requirements :

  • 5 years of proven hands-on experience with GCP data services.
  • GCP Google Cloud Professional Data Engineer Certification.
  • Strong understanding of distributed systems and data engineering best practices.
  • Excellent communication and documentation skills.
  • SAFe Agile methodology
  • Experience working in onshore / offshore support model collaborating work with offshore teams.
  • Experience working with GitHub, RTC, automation tools.
  • Preferred experience AI programming, IVR Technologies like AVAYA, CISCO, Chatbot etc.

Required - minimum 5 years of proven hands-on experience in the following :

  • Design and implement robust data pipelines using Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, and Pub / Sub.
  • Develop and manage workflows using Cloud Composer (Apache Airflow) for efficient scheduling and orchestration.
  • Write clean, efficient, and scalable code in Python, leveraging advanced programming techniques.
  • Craft complex SQL queries in BigQuery, including window functions, CTEs, and performance tuning strategies.
  • Build and maintain real-time data processing systems using Apache Kafka.
  • Model and manage NoSQL databases, particularly MongoDB, with a focus on scalable schema design.
  • Utilize Shell scripting and perform Linux system administration tasks to support data infrastructure.
  • Conduct data profiling and implement validation techniques to ensure data quality and integrity.
  • Develop and maintain API integration scripts for seamless service automation and data exchange.
  • Troubleshoot and resolve data-related issues with strong analytical and problem-solving skills.
  • Create and maintain data flow diagrams to clearly communicate architecture and pipeline logic to stakeholders.
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