Data Engineer

  • Company: Workday
  • Location: Pleasanton, California
  • Posted: November 01, 2017
  • Reference ID: JR-21887
Join our team and experience Workday!

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun.

Job Description
Responsibilities  
  • Design and build facts, dimensions, snapshots, SCDs in Redshift using SnapLogic
  • Create data models and perform performance tuning
  • Develop ETL and implement best practices for ETL development
  • Create ETL piplelines that are highly optimized with very large data sets
  • Work effectively using scrum with multiple team members to deliver analytical solutions to the business functions.
  • Solve issues with data models and come up with solutions
Skills 
  • Prior experience working with AWS, S3, Redshift
  • Preferred experience with SnapLogic data integration
  • Prior experience in designing data models with Salesforce, Marketo, or other sales & marketing tools
  • Experience in designing Data Warehouse from various data sources such as Salesforce, adobe analytics
  • Very comfortable in designing facts, dimensions, snapshots, SCDs for Sales, Marketing, etc
  • Communication Skills: Data Engineers are part of a team, working with database administrators, data analysts and management and need to be effective communicators.
  • Attention to Detail: Databases are complex, and a minute error can cause huge problems.
  • Problem-Solving Skills: Data Engineers look at an issue that needs to be solved and come up with solutions quickly.
  • Growth Learner:  desire to continue to learn about where the BI industry is going and cloud technology.
Qualifications 
  • 5 + years of experience with very large scale data warehouse projects
  • BS in Computer Science or equivalent is required
  • Experience working with APIs to collect or ingest data.
  • Strong Database knowledge, Redshift preferred
  • Demonstrated academic or professional statistics and math skills
  • Experience writing shell scripts and mysql stored procedures
  • Ability to create data models, STAR schemas, snowflakes, etc.
  • Write complex SQL for processing raw data, data validation and QA

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