:
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:
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