5+ years of application development and implementation experience
5+ years of experience delivering complex enterprise-wide information technology solutions
3+ years of reporting experience, analytics experience or a combination of both
4+ years of Hadoop development / programming experience
5+ years of operational risk or credit risk or compliance domain experience
5+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop
6+ years of Java or Python experience
5+ years of Agile experience
5+ years of design and development experience with columnar databases using Parquet or ORC file formats on Hadoop
5+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs)
2+ years of experience integrating with RESTful API
Excellent verbal, written, and interpersonal communication skills
Experience designing and developing data analytics solutions using object data stores such as S3
Experience in Hadoop ecosystem tools for real-time & batch data ingestion, processing and provisioning such as Apache Spark and Apache Sqoop
Ability to work effectively in virtual environment where key team members and partners are in various time zones and locations
Ability to interact effectively and confidently with senior management
Knowledge and understanding of project management methodologies : used in waterfall or Agile development projects
Knowledge and understanding of DevOps principles
A BS / BA degree or higher in information technology
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Engineer • Charlotte, NC, United States
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