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Bank Of America Java Developer Hadoop/Python 
United States, New Jersey, Jersey City 
1030545

23.07.2024

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)