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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

As a Hadoop & ETL Developer to support production (L3) in Treasury ADS, individual will be responsible for understanding design, propose high level and detailed design solutions, propose out of box technical solutions for resolving business problems and technical problems arise during the real time in production. Individual should be flexible to work on the weekends at least once in a month. May get comp-off during weekdays. As an individual contributor in BAU, person should have good analytical skills to take a quick decision during the tough times. Engage in discussions with information architecture team for coming out with design solutions, proposing new technology adoption ideas, attending project meetings, partnering with near shore and offshore teammates in a matrix environment, coordinating with other support teams like L2, development, testing, upstream and downstream partners, etc.

Job Responsibilities:

• BAU support activities like analysis, coding, propose improvement ideas, drive the development activities at offshore
• Work on multiple projects concurrently, take ownership & pride in the work done by them, attending project meetings, understanding requirements, designing solutions, developing code
• Partnering with near shore and offshore teammates in a matrix environment, coordinating with other support teams like L2, development, testing, up/down stream partners, etc.
• Work with the Business Analysts to understand the requirements work on high level & detailed design to address the real time issues in production
• Partner with Information Architecture team for proposing technical solutions to business problems
• Identify gaps in technology and propose viable solutions
• Take accountability of the technical deliveries from offshore
• Work with the development teams and QA during the post code development phase
• Identify improvement areas within the application and work with the respective teams to implement the same
• Ensuring adherence to defined process & quality standards, best practices, high quality levels in all deliverables 

Required Qualifications:

• 10+ years of experience developing ETL solutions using any ETL tool like Informatica, SSIS, etc.
• 10+ years of experience developing applications using Hadoop, Spark, Impala, Hive & Python
• 10+ years of experience in running, using and troubleshooting the ETL & Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume
• Experience on Autosys JIL scripting
• Proficient scripting skills i.e. Unix shell & Perl Scripting
• Knowledge of troubleshooting data-related issues
• Experience processing large amounts of structured and unstructured data with MapReduce
• Experience in SQL and Relation Database developing data extraction applications
• Experience with data movement and transformation technologies

Skills:

• Application Development
• Automation
• Influence
• Solution Design
• Technical Strategy Development
• Architecture

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Job Tags

Full time, Work at office, Flexible hours, Shift work, Weekend work, Day shift, Weekday work,

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