ID
#5216323
Job type
Contract
Salary
$65 - 70 per hour
Source
Randstad Corporate Services
Date
2020-10-26
Deadline
2020-12-24

Sr. Data Engineer

Oregon, Hillsboro, 97124

Contract

Vacancy expired!

job summary:

Randstad Technologies is seeking a skilled Sr. Data Engineer for a contract role in Hillsboro Oregon. If you are ready to join a leader in the Retail and Technology space, please apply and Randstad will be more than happy to assist in helping you land your next role. We look forward to speaking with you!

location: Hillsboro, Oregon

job type: Contract

salary: $65 - 70 per hour

work hours: 8am to 4pm

education: Bachelors

responsibilities:

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 teammates and be a driving force for building first-class solutions for the 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 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
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
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
Troubleshoot data issues and perform root cause analysis
Work across teams to resolve operational & performance issues

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

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

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, and with services like EMR, S3, Lambda, ElastiCache, DynamoDB, SNS, SQS, etc
Familiarity with cloud warehouse tools like Snowflake
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

qualifications:

Experience level: Experienced
Education: Bachelors

skills:

apache spark
apache nifi
Data Engineering

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Vacancy expired!

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