Basic Qualifications
· Develop and automate high-performance data processing systems to drive Workday business growth and improve the product experience.
· Evangelize high quality software engineering practices towards building data models and pipelines at scale.
· Build reliable, efficient, testable, & maintainable data pipelines.
· Design and Develop data pipelines using Metadata driven ETL Tools and Open-source data processing frameworks.
· Hands-on experience with source version control, continuous integration and experience with release/change management delivery tools.
· Provide production support and resolve high priority incidents and the development coding issues.
· Work with cross functional teams to enable data insights through Data lifecycle.
Other Qualifications
· 8+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
· Experience with very large-scale data warehouses and data engineering projects.
· Experience building analytical solutions to Sales, Finance, Product and Marketing teams.
· Prior experience with CRM systems like SFDC is required.
· Experience developing low latency data processing solutions like AWS Kinesis, Apache Kafka, Apache Spark Stream processing and other Data Integration tools.
· Strong experience in one or more programming languages for processing of large data sets, such as Python, Scala.
· Working experience with SQL and NoSQL databases. Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs.
· Experience working with AWS Cloud Data Services like S3, EC2, EMR, Lambda, Redshift etc.
· Ability to create enterprise data models, STAR schemas for data consuming.
· Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
· Ability to mentor, guide, and lead associate engineers in the team.
· BS/MS in computer science or equivalent is required