Description

Position at Jobvite

Who We Are: 

Jobvite offers a marketing-inspired approach to recruiting by combining the power of data and the human touch. We enable recruitment teams to personalize the candidate experience with a full-scale talent platform that accelerates and simplifies the entire talent acquisition process — from the moment the search begins to the celebration of the first promotion and beyond. We make it possible to automate communication through bot-powered texts and anticipate the employee journey with internal mobility and referral tools driven by human insight and assisted by AI. With a comprehensive, talent acquisition-focused suite Jobvite has been serving customers, including Dollar Shave Club, Dunkin Brands, OpenTable, LinkedIn, Zappos, Universal Music Group, Wayfair, Zillow & Feeding America, since 2006. 

What you''ll do:

• Translate business requirements into technical specifications.
• Participate in all design reviews and requirement sessions, as required.
• Understand database design, programming concepts, data modeling, and framework management.
• Communicate ideas to both technical and non-technical people in all levels of the organization.
• Create or update technical documentation for transition to support teams, including data flows and transformations.
• Design, develop, and test data pipeline solutions and automate data loading processes.
• Develop and implement an efficient migration process to move data pipeline objects from development to test and production environments.
• Analyze data requirements, complex source data, and application data models, and determine the best methods for integrating data to support internal and external analytical needs.
• Design and implement data models to support reporting, dashboarding, and integration needs.
• Develop automated data audit, testing, and validation processes.
• Stay up to date on ever evolving technologies and processes for managing data pipelines

What you'll bring: 

• 5+ years of data and/or software engineering experience.
• Expert SQL skills.
• Experience with designing and developing complex data flows.
• Experience in creating data models based on complex business entities.
• Experience with large scale, complex data migration efforts.
• Experience with loading data from internal / external APIs.
• Developing streaming data flows (i.e., w/ Kafka, Beam, AWS SQS, Spark Streaming)
• Experience with public cloud solutioning (i.e., AWS, Azure, GCP).
• Experience with public cloud analytical database solutions (i.e., Snowflake, Redshift).
• Excellent Analytical skills required.
• Experience with shell scripting required.
• Flexibility/Adaptability is required, especially when working as a team.
• Preferred Experience:
  
  • Experience with Java, Ruby, Python
  • Experience with Machine Learning.
  • Experience with BI and Reporting Tools (i.e., Looker, Tableau, PowerBI, Qlik).
  • Experience in delivering solutions based on Agile principles
  • Experience with Kubernetes / containers