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Senior Data Engineer 1783 views

Do what you love. Love what you do.

At Workday, they help the world’s largest organizations adapt to what’s next by bringing finance, HR, and planning into a single enterprise cloud. They work hard, and they’re serious about what they do. But they like to have fun, too. They put people first, celebrate diversity, drive innovation, and do good in the communities where they live and work.

Job Description

The Sr Data Engineer will be part of an innovative Enterprise Analytics and Data Engineering Team that enables Marketing, Sales, Customer Support, and Services to explore outliers and take actions that differentiate us from their competition. You will work closely with other highly collaborative team members like data architects, data scientists, business engagement leads, and business analysts to understand what the business is trying to achieve, and design optimal data models, and provide analytical solutions.

This hands-on technical role demands excellent knowledge and can demonstrate best practices in the industry.


  • Develop and improve the current data architecture, and improve monitoring.

  • Create Optimized and Scalable Data Models (star schemas, snowflakes, etc.) for Enterprise Analytics Solutions.

  • Design and Build facts, dimensions, snapshots, SCDs in Redshift using Apache Airflow, SnapLogic/Pentaho Data Integration.

  • Develop ELT/ETL and Implement best practices for ELT/ETL development.

  • Passion for creating intelligent data pipelines which are easy to maintain (Metadata Driven architecture).

  • Work effectively using scrum with multiple team members to deliver analytical solutions to the business functions.

  • Have a high sense of urgency to deliver projects as well as troubleshoot and fix data queries/ issues

  • Always be on the lookout to automate and improve existing data processes for quicker turnaround and high productivity


  • Experience with designing complex Data Models and Data Engineering Solutions for large-scale Data Warehouse/Data Lakes from various heterogeneous Data Sources.

  • Experience with Data Integration, Business Intelligence and Analytics tools, and/or any other open-source and self-service analytics tool (Airflow, Pentaho Data Integration, Snaplogic Data Integration, Tableau Software experience is preferred).

  • Strong Database Management system knowledge; Experience with PostgreSQL, MySQL, Oracle, and NoSQL Databases are needed.

  • Experience with AWS technologies stack including S3, Redshift, Glue, RDS, Sagemaker, or similar solutions.

  • Expertise in Object-Oriented and/or Functional Programming skills (SQL/PLSQL, Java/Scala, Microsoft .Net, Espresso, Python/R, Unix/Linux/Perl scripting,).

  • Experience in designing data models with Salesforce, Eloqua, Workday, Marketo, Gainsight, Adobe Analytics is Preferred.

  • Experience with Agile development methodologies (Scrum, Pair Programming).


  • 8+ years of experience with very large scale data warehouse projects

  • BS/MS 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 Mathematical skills.

  • Experience in languages like Python, R, Java, etc

  • Proficiency in Spark development and expertise in data processing ( ETL/ELT) technologies is required.

  • Write complex SQL for processing raw data, data validation, and QA.

  • Experienced with Airflow, Pentaho Data Integration, Snaplogic Data Integration tool is required.

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