Data Engineer - Python, Spark, SQL

Company: KSN Technologies, Inc.
Location: Portland, Oregon, United States
Type: Full-time
Posted: 18.FEB.2021
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Summary

Data Engineer - Python, Spark, SQL Beaverton, Oregon Long term Contract Looking for the candidates who can work on our W2. As a Data En...

Description

Data Engineer - Python, Spark, SQL

Beaverton, Oregon

Long term Contract

Looking for the candidates who can work on our W2.


As a Data Engineer within the North America Supply Chain Analytics team, you will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise data & analytics capabilities across Nike.
Primary Responsibilities:
• Good understanding and application of modern data processing technology stacks. For example, Snowflake, SQL, Spark, Hadoop ecosystem technologies, and others
• 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

• 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, Bitbucket/GitHub 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 warehouses/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
• Detail oriented with strong information seeking skills
Competencies:
• Effective Communicator
• Broad Business Process and Systems Understanding
• Analytical and Focused
• Strategic Thinking and Tactical Execution
• Continuous Learner

- provided by Dice

 
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