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!

Job Description:

 We are looking for experienced Hadoop resource for analysis and triage of issues for identification of bugs / breaks for our application in Hadoop platform. Minimum coding is involved but experience in the areas below is needed to complete analysis and triage of issues.

Good knowledge of database structures, theories, principles, and practices Experience in Java and Knowledge in Hadoop (HDFS/HBASE /SPARKSQL and SPARK/Scala with or prior experience in MapReduce) concepts and ability to write Spark/Scala Dataset, Dataframe & SQL jobs. Proven understanding with Hadoop, Spark, Hive, and HBase and ability to write Shell scripting. Familiarity with data loading tools like Sqoop, Flume and Kafka. Knowledge of workflow/schedulers like Oozie. Good aptitude in multi-threading and concurrency concept. Loading data from disparate data source sets. Certifications like Cloudera Developer (CCA175)/ Hortonworks Developer (Spark & Hive) /Administrator Certifications added advantage. Hands on experience with at least two NO SQL databases. Ability to analyze, identify issues with existing cluster, suggest architectural design changes. Ability/Knowledge to implement Data Governance in Hadoop clusters. 

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.

Required Skills:

Bachelor's degree from an accredited college or university with 5+ years’ hands on experience in coding for the following Hadoop Eco System:

• Java
• Python
• Spark/Scala,
• Spark/DataSet/Dataframe
• Spark-SQL
• Py-Spark
• Kafka
• HIVE
• Impala
• Scala
• Autosys
• HBASE
• Shell Scripting 

Desired Qualifications

• Python
• KUDU
• Restful Services
• Machine Learning/Predictive analytical
• Spark streaming 

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)

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

Shift:

1st shift (United States of America)

Hours Per Week: 

40