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Job Id : 15005

Jobtitle : Big Data Engineer

Location : Beaverton , OR

Company Name : Serverlogic

Industry : Information Technology

Salary : $70,340 - $139,190  PER YEAR

Job type : Fulltime

Posted on: 2020-07-28

Required Skills : Snowflake, SQL, Spark, Hadoop

Benefits : No benefits are available


  • Design and build product features in collaboration with business and IT Design reusable components, frameworks, libraries like User Defined Functions
  • Build continuous integration and test-driven development environment
  • Performance scalability tuning, algorithms, and computational complexity
  • Develop architecture and design patterns to process and store high volume data sets
  • Participate in an Agile Scrum methodology to deliver high - quality software releases every 2 weeks through Sprints Troubleshoot production support issues post-deployment and come up with solutions as required experience
  • Good understanding and application of modern data processing technology, such as Snowflake, SQL, Spark, Hadoop ecosystem technologies, and others
  • A Bachelor's degree in Business, Information Technology or related field
  • 2 years experience in a professional organization collaborating across multiple functions
  • Familiarity with Agile project delivery methods
  • Experience with AWS components and services (E.G. EMR, S3, and Lambda)
  • Experience with Jenkins, BitbucketGitHub and scheduling tools like Airflow
  • Strong programming, Python, shell scripting and SQL
  • Good understanding of file formats including JSON, Parquet, Avro, and others
  • Experience with data warehouse RDBMS like Oracle, Teradata, Snowflake
  • Experience with data warehousing, dimensional modeling and ETL development
  • Demonstrable ability to quickly learn new tools and technologies
  • Machine learning frameworks statistical analysis with Python, R or similar
  • Exceptional interpersonal and communication skills (written and verbal)
  • Passion for data with demonstrated ability to use data to tell a story and influence decision making

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