Senior Software Engineer - Hadoop

Charlotte, NC, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Business Process
  • Data Modeling
  • Reporting
  • Analytics
  • Workflow
  • Debugging
  • Evaluation
  • Regulatory Compliance
  • Collaboration
  • Software Engineering
  • Training
  • Military
  • Extract
  • Transform
  • Load
  • Big Data
  • Apache Spark
  • PySpark
  • Python
  • Apache Hadoop
  • Apache Hive
  • Scala
  • RDBMS
  • Database
  • Unix
  • Shell Scripting
  • Batch Processing
  • CA Workload Automation AE
  • Cloud Computing
  • Data Engineering
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Amazon Web Services

Summary

Senior Software Engineer (Hadoop) who will play a critical role in data platform modernization and be responsible for developing technology solutions supporting complex business processes including transformation of data, data modelling, reporting, analytics, and workflow needs

In this role, you will:
  • Lead moderately complex initiatives and deliverables within technical domain environments
  • Contribute to large scale planning of strategies
  • Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
  • Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
  • Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
  • Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
  • Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:
  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 2+ years of experience in ETL in big data tech stack such as Apache Spark, Hadoop or Hive
  • 2+ years of experience in data engineering using Pyspark/Python, Hadoop, Hive, Scala
  • 2+ years of RDBMS/Database experience
  • 1+ year of experience on UNIX/Shell scripting

Desired Qualifications:
  • 2+ years experience on batch processing tools such as Autosys
  • Experience working in Dremio
  • Experience in any cloud data engineering (Azure/Google Cloud Platform/AWS)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80183517
  • Position Id: 2237c449e7b5a1d5fe70f9e22d7be5ed
  • Posted 7 hours ago
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