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
- Builds and manages ETL processes in Python/Sparks
- Develops, tests, maintains, and supports operational processes
Managerial Responsibilities:
This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.
- Diversity & Inclusion Champion: Creates an inclusive team where members are treated fairly and respectfully.
- Manager of Process & Data: Demonstrates and expects process knowledge, data driven decisions, simplicity and continuous improvement.
- Enterprise Advocate & Communicator: Delivers clear and concise messages that motivate, convey the “why” and connects contributions to business results.
- Risk Manager: Leads and encourages the identification, escalation and resolution of potential risks.
- People Manager & Coach: Knows and develops team members through coaching and feedback.
- Financial Steward: Manages expenses and demonstrates an owner’s mindset.
- Enterprise Talent Leader: Recruits, on-boards and develops talent, and supports talent mobility for career growth.
- Driver of Business Outcomes: Delivers results through effective team management, structure, and routines.
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
Required Qualifications:
- Experience with analysis and design to ETL process in Hadoop
- Experience with development and testing developed ETL processes
- Effective collaboration with various stakeholders
1st shift (United States of America)