Data Engineer III

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. 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 driving efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include leading code design and delivery tasks with the integration, cleaning, transformation and control of data in operational and analytical data systems. Job expectations include liaising with vendors and working with stakeholders and Product and Software Engineering teams to implement data requirements, analyzing performance, and researching and troubleshooting issues within system engineering domains.

Responsibilities:

• Responsibilities include (but are not limited to):
• Participate in status meetings to track progress, resolve issues, articulate & mitigate risks and escalate concerns in a timely manner.
• Exemplifies and evangelizes great solution delivery management by minimizing technical debt, surpasses design, engineering, & organizational practices (unit testing, release procedures, coding design and documentation protocols), coding and quality, and exceeds security standards and Bank's change management requirements
• Demonstrates the development and implementation of enterprise data quality standards and data protection standards within the space
• sets the bar for team communications and interactions - is an excellent teammate to peers, influencing them in a postive direction
• Acts as a liaison for production activities/issues. Mentors the team on work breakdown and execution
• Oversees continuous improvement of database scalability & performance
• uses versioning tools such as GIT/Bit bucket
• sets up jobs using autosys for automation
• Advocates and advances modern application development & deployment – Agile solution delivery, Automated Testing, Continuous Integration, Continuous Delivery

Skills:

• Analytical Thinking
• Application Development
• Data Management
• DevOps Practices
• Solution Design
• Agile Practices
• Collaboration
• Decision Making
• Risk Management
• Test Engineering

Required Skills:

• HR Data Domain experience.

• Finance Data Domain experience (RDR Finance space).

• 6+ years Data Warehousing experience, including manipulation/ transformation of millions of rows with optimal methods

• 6+ years experience with traditional relational database management systems (Oracle) and SQL skills, including developing stored procedures, functions, and triggers in a Big Data environment

• 6+ years SQL & PL/SQL development experience with Oracle DBMS and VPD Security.

• Advanced-level analytical, debugging, and critical thinking skills.

• 6+ years using TOAD, Unix Shell Scripting, Autosys, Jira, and Microsoft Office Suite (Outlook, Excel, Word, Access)

• Experience in Master Data Management (MDM) concept, tools, and best practices

• Demonstrable risk identification skills

• Working knowledge of Java/ Mulesoft/ APIs

Shift:

1st shift (United States of America)

Hours Per Week:

40