Senior/Principal Distributed Systems Engineer, Data Processing
Location:
Posted:
October 28, 2016
Reference:
JR15337
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
The Role
As part of Workday's analytics team, you will be responsible for building, enhancing and extending large-scale distributed data processing engine in the cloud. You will work with a top-notch team to architect and build features in the distributed Hadoop/Spark data processing engines.You will also be responsible for developing data processing algorithms that work on large datasets and algorithms that facilitate interactive experience over large volumes of data.

About You
You are an engineer who is passionate about data management and distributed data processing frameworks and algorithms. Performance, scalability, and reliability of these algorithms are not an afterthought for you. You take pride in building algorithms that are not only scalable and efficient but also require no tuning and are easy to support in production environments. You think and code in terms of well-defined abstractions, relational algebra, and operators.  You think not only about what is valuable for internal development but also about programmatic interfaces to enable customer success. You also excel in the ability to juggle priorities and make the right tradeoffs in feature content and timely delivery of features while ensuring customer success and technology leadership for the company. You can make all of this happen using Scala, Java, Spark and related Hadoop technologies.

You have a BS in Computer Science or relevant fields, MS or PhD is preferred with at least 3+ years of applied work experience.

Tags: Java, Scala, Spark, Hadoop, Cloud, Map-Reduce, Database Internals, Distributed Systems.

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About Workday

Workday is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies. More than 1,000 organizations, ranging from medium-sized businesses to Fortune 50 enterprises, have selected Workday.

Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.

We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.
A little about us:
A leading provider of enterprise cloud applications, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest organizations.

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