Data Engineer II
Charlotte, United States
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Bank of America
What would you like the power to do? At Bank of America, our purpose is to help make financial lives better through the power of every connection.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!
Position Summary
This role is responsible for developing and delivering data solutions to accomplish technology and business goals. Key responsibilities include code design and delivery tasks associated with the integration, cleaning, transformation and control of data in transactional data systems. They work with stakeholders, Product Owners and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues. These individuals are familiar with the data engineering practices of the bank. Resource will be responsible to manage, maintain and improve Oracle Database implementation in payments space. Responsibility includes supporting database releases, troubleshooting and triaging activities and liaison with Bank CTO DB teams to maintain health of system.
This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.
Responsibilities:
- Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
- Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria
- Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process
- Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes
- Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
- Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
- Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes.
- Ideate, design, develop and maintain Oracle databases, applications and systems.
- Troubleshoot and resolve technical issues related to Oracle databases and applications.
Required Qualifications :
- 10+ years of Job related experience required .
- SQL and PL/SQL : Expertise in writing complex queries, stored procedures, functions and pakages.
- Experience with Oracle DBA : Knowledge in database security, Performance tuning must.
- Experience in Data modeling
- Experience in developing and delivering data solutions to accomplish technology and business goals.
- Experience with Code design and delivery tasks associated with the integration, cleaning, transformation and control of data in transactional data systems.
- Experience working with stakeholders, Product Owners and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues.
Desired Qualifications :
- Familiar with the data engineering practices of the bank.
- Responsible to manage, maintain and improve Oracle Database implementation in payments space.
- Support database releases, troubleshoot and triage activities and liaison with Bank CTO DB teams to maintain health of system.
Skills:
- Analytical Thinking
- Application Development
- Data Management
- DevOps Practices
- Solution Design
- Agile Practices
- Collaboration
- Decision Making
- Risk Management
- Test Engineering
- Architecture
- Business Acumen
- Data Quality Management
- Financial Management
- Solution Delivery Process
Shift:
1st shift (United States of America)Hours Per Week:
40* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Data management Data pipelines Data quality DevOps Engineering Oracle Pipelines Research Security SQL
Perks/benefits: Career development Wellness
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