Join EY's Data and Analytics team as a Staff Cloud Expert and contribute to designing and implementing Big Data cloud solutions. This role is within EY's Consulting Services, a specialized unit focused on delivering integrated services leveraging deep industry and technical expertise. You'll work with leading financial institutions and capital markets participants, helping them embed analytical practices for better decision-making and business growth.

This is an opportunity to join a market-leading, multi-disciplinary team of over 1400 professionals within EY's integrated global transaction business. You will collaborate with global EY Consulting practices and work with diverse clients across various industries.

Design and implement Big Data cloud solutions, particularly on Google Cloud Platform (GCP). Develop data pipelines and architectures using GCP services like BigQuery, Cloud Storage, Dataproc, Dataflow, Cloud Composer, and Cloud Functions. Utilize streaming and messaging technologies such as Pub/Sub and Apache Kafka on GCP. Write MapReduce, Spark, or Dataflow jobs for large-scale data processing. Architect scalable data warehouse solutions and integrate technical components. Develop and maintain data warehouse architectures, ETL/ELT processes, and reporting tools. Implement software version control and CI/CD processes using Git, Jenkins, and Cloud Build.

A Bachelor's degree (BE/BTech/BCA) or a Master's degree (MCA/MBA) is required. A minimum of 3 years of hands-on experience in one or more key areas is essential. Proficiency in GCP services, including BigQuery, Cloud Storage, Dataproc, Dataflow, Cloud Composer, and Cloud Functions. Strong experience with Spark, PySpark, and Scala for big data processing. Familiarity with streaming technologies like Pub/Sub and Apache Kafka on GCP. Experience with software version control (Git) and CI/CD tools (Jenkins, Cloud Build). Skilled in writing MapReduce, Spark, or Dataflow jobs for large-scale data processing. Deep knowledge of SQL and data querying for analytical purposes. A strong background in architecting scalable data warehouse solutions. Minimum 2 years of experience in data modeling concepts. Minimum 2 years of development experience in Python and/or Java. Minimum 2 years of experience working with Big Data ecosystems such as Hadoop, Spark, and related technologies. Relevant GCP certifications or other professional cloud/data engineering certifications are advantageous. Excellent analytical, communication, and problem-solving skills are expected. Flexibility, proactivity, and self-motivation are key attributes for success in this role.