Senior Big Data Engineer / Architect **Urgent Need**

Amazon Web Services, Apache Flink, Apache Hive, Apache Spark, Batch processing, Big data, Communication skills, Engineering, Infrastructure, Java, Open source, Python, Scala, Streaming, Software development, Machine learning, Real-time, Jupyterhub, Kubernetes
Contract W2, Contract Corp-To-Corp, 6 Months
Depends on Experience
Work from home available Travel not required

Job Description

Big Data Engineer / Architect (multiple positions open) - will start as remote however will be onsite at Seattle once the pandemic restrictions are lifted.

Minimum Requirements:

  • At least 10+ years of experience in big data ecosystem. Example technologies include batch and stream processing (e.g. Spark, Hive, Flink, Beam), analytical engines (e.g. Presto, Druid), search platform (e.g. Solr/Lucene), tooling (e.g. Airflow, Jupyter, Superset, Tableau), and storage format (e.g. Iceberg)
  • Excellent verbal and written communication skills, able to collaborate cross-functionally with data science, machine learning, data platform and analytics teams
  • Customer-focused mindset, with emphasis on user experience and satisfaction
  • Superb problem-solving skills, and able to thrive in a fast-paced and dynamic environment
  • Hands-on in designing, building, scaling, and troubleshooting solutions to big data problems
  • Must be self-driven, and able to provide advice and support to users to properly integrate with our data platform
  • Programming experience in Java, Python, Scala, or similar languages
  • Passionate about latest big data technologies, open source community presence is a big plus
  • Experience with AWS, Kubernetes, Infrastructure-as-code, and data privacy & compliance is a big plus
Dice Id : artech
Position Id : 6765654
Originally Posted : 6 months ago
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