Upwork ($UPWK) is the world’s work marketplace. We serve everyone from one-person startups to over 30% of the Fortune 100 with a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential.  

Last year, more than $3.3 billion of work was done through Upwork by skilled professionals who are gaining more control by finding work they are passionate about and innovating their careers. 

This is an engagement through Upwork’s Hybrid Workforce Solutions (HWS) Team. Our Hybrid Workforce Solutions Team is a global group of professionals that support Upwork’s business. Our HWS team members are located all over the world.

Work/Project Scope: 

• Run data processing pipelines on Snowflake / AWS platform
• Run SQL queries to inspect quality and completeness of the data
• Copy data between different sources. E.g JDBC to S3, S3 to S3, Presto to S3, etc.
• Configure jobs on AWS Step Functions / Lambda
• Orchestrate Sagemaker Pipelines
• Support engineers and data scientists on slack
• Debug SQL / Python Exceptions on the snowflake and Sagemaker environment.
• Help to migrate notebooks from Databricks into the AWS Sagemaker environment.

  Must-Have Requirements:  

• 3+ years experience with python
• 1+ years of experience witth MLOps on AWS environment, including model productization with docker.
• 1+ year experience with Sagemaker pipeline
• 3+ years solid experience with SQL
• 1+ years solid experience with DevOps on Linux environment

Upwork is proudly committed to fostering a diverse and inclusive workforce. We never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.   

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