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Position Details: Senior Data Engineer-936934E

Location: Hillsboro, OR
Openings: 2
Job Number:

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Description:

Senior Data Engineer 

 

Client has embraced big data technologies to enable data-driven decisions.  We’re looking to expand our Data Engineering team to keep pace.  As a Senior Data Engineer, you will work with a variety of talented Client teammates and be a driving force for building first-class solutions for Client Technology and its business partners, working on development projects related to supply chain, commerce, consumer behavior and web analytics among others.

 

Role responsibilities:

  1. Design and implement features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
  2. Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes
  3. Design and implement distributed data processing pipelines using Spark, Hive, Sqoop, Python, and other tools and languages prevalent in the Hadoop ecosystem
  4. Build utilities, user defined functions, and frameworks to better enable data flow patterns
  5. Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing
  6. Define and apply appropriate data acquisition and consumption strategies for given technical scenarios
  7. Build and incorporate automated unit tests and participate in integration testing efforts
  8. Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to
  9. Work across teams to resolve operational and performance issues

 

The following qualifications and technical skills will position you well for this role:

  1. MS/BS in Computer Science, or related technical discipline
  2. 4+ years of experience in large-scale software development, 2+ years of big data experience
  3. Strong programming experience, Python preferred
  4. Extensive experience working with Hadoop and related processing frameworks such as Spark, Hive, Sqoop, etc.
  5. Experience with RDBMS systems, SQL and SQL Analytical functions
  6. Experience with workflow orchestration tools like Apache Airflow
  7. Experience with performance and scalability tuning

 

The following skills and experience are also relevant to our overall environment, and nice to have:

  1. Experience with Scala or Java
  1. Experience working in a public cloud environment, particularly AWS
  2. Familiarity with cloud warehouse tools like Snowflake
  3. Experience with messaging/streaming/complex event processing tooling and frameworks such as Kinesis, Kafka, Spark Streaming, Flink, Nifi, etc.
  4. Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
  1. Experience building RESTful API’s to enable data consumption
  2. Familiarity with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI
  3. Familiarity with practices like Continuous Development, Continuous Integration and Automated Testing
  4. Experience in Agile/Scrum application development

 

These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same:

  1. Desire to work collaboratively with your teammates to come up with the best solution to a problem
  2. Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
  3. Excellent problem-solving and interpersonal communication skills
  4. Strong desire to learn and share knowledge with others

Required

  • HADOOP
  • HIVE
  • LARGE-SCALE
  • PROBLEM-SOLVING
  • PYTHON

Additional

  • SOFTWARE DEVELOPMENT
  • SQOOP
  • AMAZON DYNAMODB
  • AMAZON KINESIS
  • APACHE
  • APACHE HADOOP SQOOP
  • APACHE HBASE
  • APACHE KAFKA
  • ARCHITECTURE
  • AUTOMATED TESTING
  • DATA ACQUISITION
  • DYNAMODB
  • HBASE
  • INTEGRATION TESTING
  • JAVA
  • JENKINS
  • KAFKA
  • KINESIS
  • NOSQL
  • RDBMS
  • SCALA
  • SQL
  • STREAMING
  • UNIT TESTS

 

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