Data Engineer II

Job Description:
Enterprise Risk & Finance Technology (ERFT) at Bank of America

• Believes diversity makes us stronger so we can reflect, connect and meet the diverse needs of our clients and employees around the world.
• Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully.
• Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals.
• Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience.
• Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs.
• Believes in responsible growth and is dedicated to supporting our communities by connecting them to the lending, investing and giving them what they need to remain vibrant and vital.

Who We Look For
We are looking for looking for a talented and highly motivated software engineer with distributed computing technologies experience or knowledge in Python, C/C++ or Java to help further develop an Apache Spark based distributed analytics platform. The right candidate will help deliver new functionality to the Treasury business to be more effective in managing the bank's capital reserves.
Role Overview
Development resource with 8 + years' experience in Database design and Application development, leveraging numerous software components, from supporting strategic initiatives and deliveries and maintenance of applications within the Global Market Risk Technology portfolio.
Responsible for leading efforts to develop and deliver complex data solutions to accomplish technology and business goals.

• Code design and delivery tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems.
• Works with stakeholders, Product Owners, and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues. Proficient in data engineering practices, and have extensive experience of using design and architectural patterns.
• Contributes to story refinement/defining requirements. Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle. Utilizes multiple architectural components in design and development of client requirements. Codes complex solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria. Assists team with resolving technical complexities involved in realizing story work.
• Collaborates with development teams to understand data requirements, ensure the data architecture is feasible to implement and subsequently implemented accurately.
• Assembles large, complex data sets that meet functional / non-functional requirements. Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management. Defines and builds data pipelines that enable faster, better, data-informed decision-making within the business.
• Contributes to existing test suites (integration, regression, performance), analyzes test reports, identifies any test issues/errors, and triages the underlying cause. Documents and communicates required information for deployment, maintenance, support, and business functionality.
• Adheres to team delivery/release process and cadence pertaining to code deployment and release. Identifies gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps. Leads concept and experimentation testing and synthesizes the results to validate and improve analytical solution.
• Monitors key performance indicators and internal controls. Mentors more junior Data Engineers and coaches team on CI-CD practices and automating tool stack. Individual contributor.
• Key contributor to development initiatives that require Hadoop technical expertise across numerous components
• Effectively partner with internal and external technical resources to define and design solutions to meet Business needs
• Design, develop, enhance, debug, support, maintain and test software applications that support Business units
• Provide innovative solutions to problems and drive the design/development of components
• Effectively conveys message in both written and verbal development discussions

Required Skills

• Expertise in Database and Data-Warehousing components: SSIS, SSAS, SSRS.
• Strong SQL knowledge and data analysis skills on CrossDB plateforms Microsoft SQL server, Oracle, TeraData,
• Experience in optimizing, performance tuning, Debugging and Partitioning.
• Familiarity and experience with Autosys scheduler, Tibco.
• Conversant in Agile methodology and Scrum.
• Proficient understanding of code versioning tools {{such as Git, Bitbucket}}
• Excellent communication skills and analytical skills.

Desired Skills

• Financial Services Industry experience (especially in Compliance and Risk).
• Prior experience in Global Offshore delivery model.
• Python experience or any other OOPs.
• Production support experience, interact with DBAs to maintain servers' health.

Shift:
1st shift (United States of America)
Hours Per Week:
40