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Assistant Vice President; Data EngineerBank of America • Charlotte, North Carolina, United States
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Assistant Vice President; Data Engineer

Bank of America
  • US
    Charlotte, North Carolina, United States
  • US
    Charlotte, North Carolina, United States
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À propos

Overview 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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development, with clear in-office expectations while providing flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Responsibilities Develop and deliver complex data solutions to accomplish technology and business goals. Code, design and deliver 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, analyze performance, conduct research and troubleshoot issues. Perform proficient data engineering practices and apply design and architectural patterns. Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle. Code complex solutions to integrate, clean, transform and control data in operational and/or analytics data systems per defined acceptance criteria. Define and build data pipelines that enable faster, better, data-informed decision-making within the business. Contribute to existing test suites (integration, regression, performance); analyze test reports, identify test issues, and triage root causes. Remote work may be permitted within a commutable distance from the worksite. Required Skills & Experience Master's degree or equivalent in Computer Science, Computer Information Systems, Information Technology, Management Information Systems, Engineering (any), or related field, and 3 years of experience in the job offered or a related IT occupation. 3 years of experience in each of the following: Utilizing Hadoop/Big Data and scalable distributed systems to provide analytical insights using terabytes of data; Configuring and tuning Hadoop services including Hive, Spark, HBase, HDFS, Impala, Kafka; Developing applications on container orchestration platforms like Kubernetes and Docker to build dynamic and scalable applications; Designing solutions to deploy scalable machine learning models on big data platforms; Developing batch and real-time data pipelines to ingest data into a Data Warehouse; Using source code version control systems and Jenkins for continuous and efficient delivery of data products. Details: Shift – 1st shift (United States of America); Hours Per Week – 40
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  • Charlotte, North Carolina, United States

Compétences linguistiques

  • English
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