Senior Data EngineerHybrid

Title: Senior Data Engineer

Location: Beaverton, OR

Duration: 24-month contract

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

Responsibilities

• Python programmers/developers who done extensive hands-on work in data engineering space
• Willingness to quickly learn and adapt.
• Experience in solutioning and implementing data pipelines, data curation, data modeling and implementing data solutions.
• Strong understanding of different type of data and the lifecycle of data.
• Design, develop, and launch extremely efficient and reliable data pipelines using Python frameworks to move data and to provide intuitive analytics to our partner teams.
• Collaborate with other engineers and Data Scientists to Client for the best solutions.
• Diagnose and solve issues in our existing data pipelines and envision and build their successors.

Required Qualifications

• Bachelor’s degree in computer science or equivalent work experience.
• Minimum 8+ years' experience in IT
• 6+ years Proficiency working with Python specifically related to data processing with proficiency in Python Libraries - Pandas, NumPy, PySpark, PyOdbc, PyMsSQL, Requests, Boto3, SimpleSalesforce, Json.
• 4+ years' experience in Data Warehouse technologies – Databricks and Snowflake
• 4+ years Strong SQL (SQL, performance, Stored Procedures, Triggers, schema design) skills and knowledge of one of more RDBMS and NoSQL DBs like MSSQL/MySQL and DynamoDB/MongoDB/Redis.
• 4+ years in designing, developing and managing REST APIs.
• 2+ years Strong AWS skills using AWS Data Exchange, Athena, Cloud Formation, Lambda, S3, AWS Console, IAM, STS, EC2, EMR
• 2+ years ETL tools like Apache Airflow/AWS Glue/Azure Data Factory/Talend/Alteryx
• 1+ year in Hadoop, Hive
• Excellent verbal communication skills.
• Knowledge of DevOps/Git for agile planning and code repository