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Data Analyst, Technology Consulting - Data & Analytics (Data Architecture & Engineering) - Financial Services Office (Manager) (Multiple Positions) (1557562), Ernst & Young U.S. LLP, Dallas, TX.
Full time employment, Monday – Friday, 40-45 hours per week, 8:30 am – 5:30 pm.
MINIMUM 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. Alternatively, 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.Employer will accept any suitable combination of education, training or experience.
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