Senior Data Engineer
Company: Disability Solutions
Location: Charlotte
Posted on: October 10, 2024
Job Description:
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. 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're devoted to being a diverse and inclusive workplace for
everyone. 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.Bank of America believes both
in the importance of working together and offering flexibility to
our employees. 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. Join us!Job Description: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 implement 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.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
- Utilizes sound, seasoned analytical skills to independently
develop analytics & automated testing solutions using a variety of
tools (Alteryx, Tableau, etc.) and programming languages (SQL, SAS,
Python, etc.)
- Supports the design and execution of new analytics, automated
testing tools, and models
- Responsible for multiple projects simultaneously, ensuring each
one is completed on time and efficiently with a high standard of
work
- Coordinates, schedules, scopes, and leads large,
cross-functional analytics & automation activities
- Exercises judgment, critical thinking, and sound communication
skills to influence business partners
- Coaches/trains junior team members in execution of analytics
and automation activitiesManagerial 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: Models an inclusive environment
for employees and clients, aligned to company D&I goals.
- Manager of Process & Data: Demonstrates deep process knowledge,
operational excellence and innovation through a focus on
simplicity, data based decision making and continuous
improvement.
- Enterprise Advocate & Communicator: Communicates enterprise
decisions, purpose, and results, and connects to team strategy,
priorities and contributions.
- Risk Manager: Ensures proper risk discipline, controls and
culture are in place to identify, escalate and debate issues.
- People Manager & Coach: Provides inspection, coaching and
feedback to motivate, differentiate and improve performance.
- Financial Steward: Actively manages expenses and budgets in
alignment with objectives, making sound financial decisions.
- Enterprise Talent Leader: Assesses talent and builds bench
strength for roles across the organization.
- Driver of Business Outcomes: Delivers results by effectively
prioritizing, inspecting and appropriately delegating team
work.Skills:
- Analytical Thinking
- Highly motivated, proactive and a self-starter; strong sense of
ownership & ability to create and execute plans without daily
oversight
- Takes initiative and demonstrates focused desire to drive
improvements vs. relying on "status quo"
- Organized; able to effectively prioritize and balance multiple
efforts in a fast-paced, regulatory driven environment.
- Expert in data analytics, mining, manipulation, aggregation,
integration, and reporting
- Relational database management systems architecture
- Data modeling and tuning experience
- SQL Programming, stored procedures, functions, objects
etc.
- Knowledge of data management (data quality, metadata
management, governance, etc.) and BI/data management tools and
applications
- Good verbal and written communication skillsRequired
Qualifications:
- Data Analytics, SQL
- Degree in business, computer science or related
disciplineDesired Qualifications:
- 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
Shift:1st shift (United States of America)Hours Per Week: 40
Keywords: Disability Solutions, Burlington , Senior Data Engineer, Engineering , Charlotte, North Carolina
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