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:

• Perform SaaS vendor evaluation and design scalable and manageable integration.
• Develop a deep knowledge of data sources, granularity, availability, and limitations.
• Build maintainable, scalable data processing pipelines in PostgreSQL, Python, and other data processing languages in the data platform running in AWS.
• Operate and optimize the existing data pipelines that meet the data delivery and data quality service level agreement.
• Work with the Product Engineering team to influence source system data models and data collection and instrumentation for data consumers' needs across the company.
• Develop data processing technical strategy and be accountable for the execution roadmap.

Must Haves (Required Skills):

• Demonstrated ability to work in a data-centric environment and be proficient in agile/scrum delivery model.
• Familiar with AWS and data management related service offerings.
• Proven track record of leading multiple work streams simultaneously in a fast-paced environment and partnering with multiple business partners.
• Ability to handle high ambiguity use cases and set a clear direction and guide your team to tackle complex problem domains.
• Deep understanding of data structures and data architecture with experience in microservices design data modeling and management approaches.
• Analytical approach with natural curiosity toward data and effective in communicating complex analyses.
• A proven record of taking large data projects from ideation to implementation.
• Authority on working with high-volume, heterogeneous data using distributed or Massively Parallel Processing (MPP) databases.
• Expert in writing advanced SQL and, performance tuning of SQL.

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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