Vice President; Analyst - Tech Delivery

Bank of America Bank of America · Banking · Charlotte, NC

This role is for a Vice President/Analyst in Tech Delivery at Bank of America, focusing on designing and developing data warehousing solutions using technologies like Hadoop, Teradata, Oracle, SAS, Java, Informatica, and Apache Spark. The responsibilities include estimating work, coding solutions, designing architectures, and developing ETL workflows. The role requires a Bachelor's degree and 5 years of experience in IT, with specific experience in backend system scaling, full-stack engineering, Linux, debugging, and using big data technologies for proof of concept projects.

What you'd actually do

  1. Estimate the work necessary to realize a story or requirement through the delivery lifecycle.
  2. Code solutions and unit test to deliver a requirement or story per the defined acceptance criteria and compliance requirements.
  3. Design, develop, and modify architecture.
  4. Design and develop production-ready software for data warehousing solutions using Hadoop, Teradata, Oracle, SAS, Java, Informatica, and CI/CD deployment.
  5. Develop complex Teradata SQL-based ETL and analytic workflows using native utilities including BTEQ, TPT, and FastExport.

Skills

Required

  • Bachelor's degree or equivalent in Computer Science, Computer Information Systems, Management Information Systems, Engineering, or related field
  • 5 years of progressively responsible experience in IT
  • Designing and developing solution architectures to scale backend systems using Python, Java, Spring Boot and rest specifications
  • Utilizing full stack engineering, Linux, coding, and debugging
  • Designing and developing production ready software using web, cloud, and distributed technologies such as Apache Spark, Hadoop, Microservices, and CI/CD cloud deployment
  • Designing and developing new proof of concept projects to enhance current software systems to handle increased traffic and larger datasets with cutting edge technologies such as Elasticsearch, Redis, and Kafka
  • Teradata SQL
  • ETL
  • Hadoop
  • Teradata
  • Oracle
  • SAS
  • Java
  • Informatica
  • CI/CD
  • Linux
  • Autosys
  • Apache Spark
  • BTEQ
  • TPT
  • FastExport
  • Elasticsearch
  • Redis
  • Kafka

What the JD emphasized

  • compliance requirements
  • production-ready software
  • handle increased traffic and larger datasets