ID
#17807673
Job type
Contract
Salary
Competitive
Source
Kforce Technology Staffing
Date
2021-08-03
Deadline
2021-10-02

Data Engineer

Oregon, Beaverton, 97005

Contract

Vacancy expired!

RESPONSIBILITIES:Kforce has a client that is seeking a Data Engineer in Beaverton, OR.

Responsibilities of the Data Engineer: The Data Engineer will design and implement data products and 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 Translate product backlog items into engineering designs and logical units of work Profile and analyze data for the purpose of designing scalable solutions The Data Engineer will define and apply appropriate data acquisition and consumption strategies for given technical scenarios Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns Implement complex automated routines using workflow orchestration tools Work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to As a Data Engineer, you will anticipate, identify and solve issues concerning data management to improve data quality Build and incorporate automated unit tests and participate in integration testing efforts Utilize and advance continuous integration and deployment frameworks The Data Engineer troubleshoots data issues and perform root cause analysis Work across teams to resolve operational & performance issues

REQUIREMENTS: MS/BS in Computer Science, or related technical discipline 5+ years of experience in large-scale software development, 3+ years of big data experience Strong programming experience, Python preferred Extensive experience working with Hadoop and related processing frameworks such as Spark, Hive, etc. Experience with messaging/streaming/complex event processing tooling and frameworks with an emphasis on Spark Streaming or Structured Streaming and Apache Nifi Good understanding of file formats including JSON, Parquet, Avro, and others Familiarity with data warehousing, dimensional modeling, and ETL development Experience with RDBMS systems, SQL and SQL Analytical functions Experience with workflow orchestration tools like Apache Airflow Familiarity with data warehousing, dimensional modeling, and ETL development Experience with performance and scalability tuning

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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