Bank Of America Java Developer Hadoop/Python 

United States, New Jersey, Jersey City 

1030545

Job Description:

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 memory optimizations

• Expertise of SQL and NoSQL databases, as well as data integration and transformation tools

• Excellent communication skills

Skills:

• Application Development

• Automation

• Influence

• Solution Design

• Technical Strategy Development

• Architecture

• Business Acumen

• DevOps Practices

• Result Orientation

• Solution Delivery Process

• Analytical Thinking

• Collaboration

• Data Management

• Risk Management

• Test Engineering

1st shift (United States of America)