Senior Data Engineer

3 hours ago

Wilmington, Delaware, United States Hispanic Technology Executive Council Full time
Job Summary

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.

Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world.

We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference.

The Corporate Audit and Credit Review (CACR) analytics & automation team delivers data-driven, risk-based insights and automation solutions to the CACR organization.

The Senior Data Engineer role will be responsible for developing and implementing a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI.

This role demands interaction with highly experienced audit and/or credit professionals, data experts and technology.

Intellectual curiosity will drive critical thinking to produce optimal solutions.

Strong time management, coordination, communication, and presentation skills are a must in this role.

Key Responsibilities:

  • Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems
  • Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality
  • Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement
  • Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines
  • Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes
  • Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes
  • Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls

Requirements:

  • Data Analytics, SQL
  • Degree in business, computer science or related discipline
  • Audit Process Knowledge
  • Knowledge of the Hadoop ecosystem on tools like HIVE/Impala/Spark
  • Tableau/SSRS or other current reporting tool
  • Agile team member
  • Knowledge of bank technology and data management standards

Work Environment:

1st shift (United States of America)

40 hours per week

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