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EY

Senior AI and Data Consultant – GCP

EY

Senior Cloud Expert responsible for GCP implementation and building data pipelines at EY. Collaborating within teams and developing scalable solutions for diverse clients.

Posted 5/8/2026full-timeKolkata • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
ApacheBigQueryCloudETLGoogle Cloud PlatformHadoopJavaJenkinsKafkaMapReducePySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • We’re looking for Senior – Cloud Experts with design experience in Bigdata cloud implementations.
  • Handling Google Cloud Platform (GCP) experience with streaming and messaging technologies.
  • Building data pipelines and architectures using GCP services including BigQuery and Cloud Functions.
  • Proficiency in Spark, PySpark, and Scala for big data processing and software version control.
  • Collaborating and communicating within team environments and across functions.

Requirements

What you’ll need
  • Google Cloud Platform (GCP)
  • Experience with streaming and messaging technologies such as Pub/Sub, Dataflow, and Apache Kafka on GCP.
  • Hands-on experience building data pipelines and architectures using GCP services including BigQuery, Cloud Storage, Dataproc, Dataflow, Cloud Composer, and Cloud Functions.
  • Proficiency in Spark, PySpark, and Scala for big data processing.
  • Experience with software version control and CI/CD tools such as Git, Jenkins, and Cloud Build.
  • Relevant GCP certifications or other professional technical certifications in cloud and data engineering.
  • Experience with cloud or on-premises middleware and enterprise integration technologies.
  • Skilled in writing MapReduce, Spark, or Dataflow jobs for large-scale data processing.
  • Strong background in architecting scalable data warehouse solutions and integrating various technical components.
  • Excellent analytical skills with deep knowledge of SQL and data querying.
  • 4+ years of experience working in large-scale data warehousing environments.
  • Exceptional communication skills, both written and verbal.
  • 7+ years of experience with detailed knowledge of data warehouse architectures, infrastructure components, ETL/ELT processes, and reporting/analytics tools.
  • 4+ years of experience in data modelling concepts.
  • 3+ years of development experience in Python and/or Java.
  • 3+ years of experience working with Big Data ecosystems such as Hadoop, Spark, and related technologies.

Benefits

Comp & perks
  • Support, coaching and feedback from some of the most engaging colleagues around
  • Opportunities to develop new skills and progress your career
  • The freedom and flexibility to handle your role in a way that’s right for you

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Hard Skills & Tools
Google Cloud Platform (GCP)BigQueryCloud FunctionsSparkPySparkScalaSQLMapReduceDataflowHadoop
Soft Skills
collaborationcommunicationanalytical skills
Certifications
GCP certificationsprofessional technical certifications in cloud and data engineering