Data Engineer
Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, coding solutions, unit testing, and ensuring the solution can be integrated successfully into the overall application/system with clear, robust, and well-tested interfaces. Job expectations include an awareness of development and testing practices in the industry.
Responsibilities:
Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
Utilizes multiple architectural components (across data, application, business) in design and development of client requirements
Performs Continuous Integration and Continuous Development (CI-CD) activities
Contributes to story refinement and definition of requirements
Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle
Contributes to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause
Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
Required Qualifications:
Extensive experience with RDBMS (SQL Server, Oracle) and Big Data (Hadoop) Systems.
Experience in designing Data Intensive applications
Experience in Python, PL/SQL. T-SQL, BI Tools (MicroStrategy, Tableau), JIRA, GitHub
Banking and Mortgage domain experience
ETL Architecture and Data Transformation/Modelling experience
Excellent communication skills
Desired Qualifications:
PySpark, Pandas, SSAS, SSIR and SSRS experience
ETL experience with SQL Server, Oracle, Flat files, DB2, Text files
Skills:
Application Development
Automation
Collaboration
DevOps Practices
Solution Design
Agile Practices
Architecture
Result Orientation
Solution Delivery Process
User Experience Design
Analytical Thinking
Data Management
Risk Management
Technical Strategy Development
Test Engineering
Shift:
1st shift (United States of America)Hours Per Week:
40Average salary estimate
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