GCP Big Data Engineer

Infosys PontoonPhoenix, AZ
Hybrid

About The Position

Seeking a GCP Big Data Engineer with experience in designing, developing, and managing large-scale data processing solutions on Google Cloud Platform (GCP). Strong expertise in Big Data technologies, data pipelines, ETL processes, and GCP services such as BigQuery, Dataflow, Dataproc, and Cloud Storage is required. The candidate should have experience in data integration, performance optimization, and building scalable data solutions to support business analytics and decision-making.

Requirements

  • Minimum 5-8 years of experience.
  • Experience in building and managing scalable data solutions on Google Cloud Platform.
  • Strong expertise in Big Data technologies.
  • Strong expertise in ETL/data pipeline development.
  • Strong expertise in BigQuery, Dataflow, Dataproc.
  • Experience in data integration.
  • Experience in optimization.
  • Experience in analytics to support business intelligence and data-driven decision-making.

Nice To Haves

  • Closely working with client
  • Good communication

Responsibilities

  • Designing, developing, and managing large-scale data processing solutions on Google Cloud Platform (GCP).
  • Building and managing scalable data solutions on Google Cloud Platform.
  • Data integration, optimization, and analytics to support business intelligence and data-driven decision-making.
  • ETL/data pipeline development.
  • Working with GCP services such as BigQuery, Dataflow, Dataproc, and Cloud Storage.
  • Performance optimization.
  • Building scalable data solutions to support business analytics and decision-making.
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