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.
The Lead Data Engineer will be part of Business Technology Analytics Engineering Team that enables Marketing, Sales, Customer Support and Services to explore outliers and take actions that differentiate us from our competition. You will work closely with other team members like data architects and business analysts to understand what the business is trying to achieve, move data from source to target, and design optimal data models. You will be also responsible for building and maintaining the data platform. This hands-on technical role demands excellent knowledge and can demonstrate best practices in the industry. Come be a part of a team that is starting this new journey.
Design and Build Enterprise Analytical solutions using Workday Prism, Snaplogic, and AWS technologies.
Build and scale data infrastructure that powers batch and real-time data processing
Streamline the intake of the raw data into our Data lake.
Develop ETL and implement best practices for ETL development
Work effectively using scrum with multiple team members to deliver analytical solutions to the business functions.
Perform production support and deployment activities
8+ years of experience with large scale data warehouse projects
BS in Computer Science or equivalent is required
Expert experience with any of the ETL tools (Informatica, Pentaho, Data Stage, etc..)
Prior experience working with AWS technologies like S3, Redshift, etc..
Preferred experience with SnapLogic data integration
Prior experience working with HCM/CRM/Finance datasets (like Workday, Salesforce, Marketo, etc..)
Very comfortable in designing facts, dimensions, snapshots, SCDs, etc
UNIX/Linux experience and scripting skills (shell, Perl, Python, etc.)
Write complex SQL for processing raw data, data validation and QA
Experience working with APIs to collect or ingest data.
Strong Database knowledge, Redshift & MySQL preferred
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.
Data Engineers look at an issue that needs to be solved and come up with solutions quickly.
desire to continue to learn about where the BI industry is going and cloud technology.