Bank Of America Assistant Vice President Data Engineer 

United States, North Carolina, Charlotte 

751112132

Responsibilities:

• Develop and deliver data solutions to accomplish technology and business goals.

• Code design and delivery tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems.

• Work with stakeholders, Product Owners, and Software Engineers to aid in the implementation of data requirements, performance analysis, research and troubleshooting.

• Work with data engineering practices and contribute to story refinement/defining requirements.

• Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.

• Code solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria.

• Use Java, Scala, Python, Apache Kafka architecture, Cloudera architecture, components, and ecosystem to maintain system operations, enhance existing data processing routines and innovate new methods using the latest offerings.

• Create advanced data pipelines by using Kafka APIs, including producers, consumers, and Kafka Streams.

• Utilize Kafka Connect, Schema Registry, and KSQL to perform inline data enrichments, calculations and build near real-time data products.

• Develop objects and metadata for integration of CDC data using fully transactional Hive managed tables.

• Perform troubleshooting and performance tuning on Cloudera Data platform.

• Perform Python and Spark development with an emphasis on Spark performance tuning and advance Spark multi-parallel processing applications.

• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience:

• Master's degree or equivalent in Computer and Information Science, Management Information Systems, Engineering (any), or related; and

• 2 years of experience in the job offered or a related IT occupation.

• Must include 2 years of experience in each of the following:

• Using Java, Scala, Python, Apache Kafka architecture, Cloudera architecture, components, and ecosystem to maintain system operations, enhance existing data processing routines and innovate new methods using the latest offerings;

• Creating advanced data pipelines by using Kafka APIs, including producers, consumers, and Kafka Streams;

• Utilizing Kafka Connect, Schema Registry, and KSQL to perform inline data enrichments, calculations and build near real-time data products;

• Developing objects and metadata for integration of CDC data using fully transactional Hive managed tables;

• Performing troubleshooting and performance tuning on Cloudera Data platform; and,

• Performing Python and Spark development with an emphasis on Spark performance tuning and advance Spark multi-parallel processing applications.

If interested apply online ator email your resume toand reference the job title of the role and requisition number.

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1st shift (United States of America)