Software Engineer III - Hadoop - Spark

Company Culture

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. Join us!

This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.

Data solution delivery team is looking for an experienced Senior Hadoop Developer. Candidate should have in-depth knowledge of Hadoop technologies, SQL and ETL processes. Candidate should possess excellent analytical capabilities, get a deep understanding of the data and build co-relation between various data elements/objects. Data solution delivery team is also responsible for ingesting the data from multiple sources, the candidate should be able to support the ingestion process using the big data tools and frameworks.

• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
• Automates manual release activities
• Designs, develops, and maintains automated test suites (integration, regression, performance)
• Design, develop, and implement applications using Hadoop technologies.
• Create ETL (Extract, Transform, Load) processes
  - Ingest data from multiple sources, transform the data and create reporting views
• Process large volumes of data efficiently
  - Analyze datasets to identify trends and insights, Support reporting and analytics requirements
• Implement data security controls, Ensure data privacy and regulatory compliance
• Test applications and data pipelines, Debug production issues and performance bottlenecks, Resolve runtime and data quality problems
• Work on the stories assigned and provide updates in the daily scrum meetings
• Lead some of the initiatives within the team and co-ordinate the requirements with the line of business

• 10+ years of relevant work experience
• Proficiency in programming language(s) required for the role
• 5+ years of experience in data warehousing architectural approaches in big data.
• Sound understanding and experience with Hadoop ecosystem (Cloudera).
• Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand.
• Experience in working with a Big Data implementation in production…