Sr Data Engineer - 1582182E

Beaverton-OR
 Job-ID :   1582182E 
  Category :  Engineers 
  Position Type : Contract Remote 

Job Description

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:

  • Design and implement features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology

  • Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes

  • Design and implement distributed data processing pipelines using Spark, Hive, Sqoop, Python, and other tools and languages prevalent in the Hadoop ecosystem

  • Build utilities, user defined functions, and frameworks to better enable data flow patterns

  • Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing

  • Define and apply appropriate data acquisition and consumption strategies for given technical scenarios

  • Build and incorporate automated unit tests and participate in integration testing efforts

  • Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to

  • Work across teams to resolve operational and performance issues

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

  • MS/BS in Computer Science, or related technical discipline

  • 4+ years of experience in large-scale software development, 2+ years of big data experience

  • Strong programming experience, Python preferred

  • Extensive experience working with Hadoop and related processing frameworks such as Spark, Hive, Sqoop, etc.

  • Experience with RDBMS systems, SQL and SQL Analytical functions

  • Experience with workflow orchestration tools like Apache Airflow

  • Experience with performance and scalability tuning

 

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

  • Experience with Scala or Java

  • Experience working in a public cloud environment, particularly AWS

  • Familiarity with cloud warehouse tools like Snowflake

  • Experience with messaging/streaming/complex event processing tooling and frameworks such as Kinesis, Kafka, Spark Streaming, Flink, Nifi, etc.

  • Experience working with NoSQL data stores such as HBase, DynamoDB, etc.

  • Experience building RESTful API’s to enable data consumption

  • Familiarity with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI

  • Familiarity with practices like Continuous Development, Continuous Integration and Automated Testing

  • 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:

  • Desire to work collaboratively with your teammates to come up with the best solution to a problem

  • Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment

  • Excellent problem-solving and interpersonal communication skills

  • Strong desire to learn and share knowledge with others

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