Software Engineer III
Plano, TX, United States
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
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
Business Acumen
DevOps Practices
Result Orientation
Solution Delivery Process
Analytical Thinking
Data Management
Shift:
1st shift (United States of America) 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
About Us Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity.
Regardless of the position you are interested in, the starting points to building your resume are the same:
1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications.
2. Think about why you can do the job and make a list of your skills that are relative to the job.
3. Identify experiences or accomplishments that show your proficiency in the skills required for the job.
4. Summarize your abilities, accomplishments and skills into a brief, concise document.
Considerations when writing a resume
• Do be brief. Resumes should be 1-2 pages in length.
• Do be upbeat and active in your wording.
• Do emphasize what you have done clearly and concretely.
• Do be neat and well organized.
• Do have others proofread and critique your resume. Spell check. Make it error free.
• Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible.
• Don't be dishonest, always tell the truth about yourself in the most flattering light.
• Don't include salary history or requirements.
• Don't include references.
• Don't include accomplishments that do not support your professional goals.
• Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.)
• Don't use italics, underlining, shadows or other fancy treatments.
Seven steps to a successful interview
1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview?
2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available?
3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight.
4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down.
5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks.
6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease.
7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage.
#J-18808-Ljbffr