Java Developer with Hadoop/Python

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!

Position Summary:

Enterprise Finance Technology’s Technology team is working on and implementing innovative solutions to improve forecasting processes and support operational excellence. This role will be responsible for working closely with the technical leads and Product Owners to deliver & support data, analytics and reporting functionalities in the GWD platform. This right candidate will be responsible for hands-on application development to support the current and target process across the SDLC – design, build, test, deploy & support.

Job Description:

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.

Responsibilities:

• 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)

Required Qualifications:

• A minimum Bachelor’s degree or related discipline or equivalent working experience

• 9 -10 years of experience in Java application development end to end, springboot, hibernate.

• Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive or Impala.

• Build Hadoop-based data management applications.

• Strong core java skills including multi-threading, collections API, Streams, JDBC and knowledge of Java profiling tools

• Experience in using frameworks like spring, spring boot, JPA, Hibernate

• Design Hive/HBase distributed data warehouse and analytical solutions to deliver on multiple use cases

• Design, develop, and maintain cross-platform ETL processes and Map Reduce/Hive data processing workflows

• Discover, ingest, and incorporate new sources of real-time, streaming, batch, and API-based data into our platform. Loading and managing large data in Hadoop. Computing complex logic in spark platforms

• Skills to optimize data pipelines and queries for better performance and scalability

• Strong problem-solving abilities and the capability to identify and resolve complex data engineering issues

• Leadership and mentoring skills, as senior data engineers often lead and guide other members of the data engineering team

• Strong computer science fundamentals in design, data structures, and algorithms

• Knowledge of performance tuning data intensive applications, Expertise in performance profiling, ability to identify performance improvements and