Data Engineer III - Big Data

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Job Description:
This is a Data Science and Engineering role supporting a new initiative at Bank of America in Addison, TX. The Platform Engineering team will be building a single unified FOSS based Platform for Big Data, Graph, ML/AI and Streaming for Platform for Consumer, Small Business, Wealth Management and Fraud use cases and partners. Candidate must possess a passion for producing high quality software and solutions, be ready to jump in and solve complex problems, and interact with users to understand the requirements and deliver solutions as a design-build-run engineer.
Required Skills :

  • Bachelor's or Master's Degree in Computer Science or related field
  • 5+ years of hands-on experience of Hadoop, Streaming and Hadoop ecosystem. Experience designing, developing, and maintaining software frameworks on Spark, Hadoop MR, Kafka, Java/Scala/Python etc. utilizing distributed computing architecture
  • Strong understanding of Storage and Compute separation
  • Hands-on experience of developing data pipeline and data prep modules using Java, Scala or Python on MR /Python/Spark
  • Experience managing and developing solutions in Agile environment
  • Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions. Drive and maintain a culture of quality, innovation and experimentation
  • Provide the prescriptive point-solution architectures and guide the descriptive architectures within assigned modules. Accountable for the availability, stability, scalability, security, and recoverability enabled by the designs
  • Own technical decisions for the solution and application developers in the creation of architectural decisions and artifacts. Ability to clearly communicate with team & stakeholders
  • Excellent verbal and written communication skills


Desired Skills:

  • Experience in designing, developing, and maintaining software solutions in Big Data and Streaming Platforms using Hadoop, MR, Kafka and Spark. Knowledge of processing and deployment technologies such YARN, Linux and Containers
  • Experience designing software frameworks on Spark, Hadoop MR, Kafka, Java/Scala/Python
  • Experience building real-time pipeline is a plus
  • Experience managing team of onsite and offshore development and support engineers


Shift:
1st shift (United States of America)
Hours Per Week:
40
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