EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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.
Requirements
- Must have a Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 5 years of progressive, post-baccalaureate related work experience.
- Must have a Master’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 4 years of related work experience.
- Must have 3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industry.
- Must have 3 years of experience assisting clients with one or a combination of the following: strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture.
- Must have 3 years of experience with one or a combination of the following: traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing.
- Must have 3 years of experience with Next-Gen platforms including one or a combination of the following: Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases.
- Must have 3 years of experience in one or a combination of the following: architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines.
- Must have 3 years of combined experience in at least 1 of the following:
- Traditional RDBMS (MS SQL Server, Oracle, MySQL or PostgreSQL)
- MPP (Redshift, Synapse, Teradata, Vertica or Netezza)
- NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan or Elasticsearch)
- Streaming Platform and Applications (Spark streaming, Kafka, Confluent or Storm)
- DevOps (Github, Kubernetes Jenkins or Terraform)
- Data Modeling (Data Vault, Star, Snowflake, or Canonical)
- Requires domestic and regional travel up to 60% to meet client needs.
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- Paid time off options
- Flexible vacation policy
- Designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence
