Consulting - Data and Analytics

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

EY-Consulting - Data and Analytics – Senior – GCP

EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making.

The opportunity

We’re looking for Senior – Cloud Experts with design experience in Bigdata cloud implementations.

Your key responsibilities

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.