Hadoop Java Feature Lead

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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!

: This job is responsible for providing leadership, technical direction and oversight to a team delivering technology solutions. Key responsibilities of the job are to provide oversight of the design, implementation, and maintenance of complex computer programs, align technical solutions to business objectives, and ensure that coding practices/quality comply with software development standards. Job expectations include conducting multiple software implementations and applying both depth and breadth in knowledge of several technical competencies.

Job Responsibilities:

• Designs, develops and is accountable for feature delivery

• Applies enterprise standards for solution design, coding and quality

• Ensures solution meets product acceptance criteria with minimal technical debt

• Guides the team on work breakdown and execution

• Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria

• Plays a team lead role (as an individual contributor) and mentors the team

• Guides team members with skills and practices (planning and estimation, peer reviews, and other engineering practices)

Required Qualifications:

• Bachelor's degree in computer science/related discipline or equivalent working experience

• 6 -10 years of experience in Java application development end to end

• 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

• Loading and managing large data in Hadoop

• 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

• 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

• 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

Desired Qualifications:

• Background in enterprise stress testing

• Knowledge of risk (credit, operational and market)

• Knowledge of cloud computing or distributed computing

• Software development in Agile environment

Skills:

• Automation

• Influence

• Result Orientation

• Stakeholder Management

• Technical Strategy Development

• Architecture

• Business Acumen

• Risk Management

• Solution Delivery Process

• Solution Design

• Agile Practices

• Analytical Thinking

• Collaboration

• Data Management

• DevOp practices

Shift:

1st shift (United States of America)

Hours Per Week:

40