Data Full Stack Engineer - Workday ERP & Databricks

Hirextra Inc
Birmingham, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Birmingham, United States of America

Tech stack

API
Amazon Web Services (AWS)
Azure
Big Data
Data Architecture
Information Engineering
ETL
Data Mining
Data Systems
Data Warehousing
Query Languages
Software Design Patterns
DevOps
Dimensional Modeling
Hive
Python
Performance Tuning
Workday Integrations
Software Deployment
SQL Databases
Enterprise Data Management
Enterprise Software Applications
Cloud Platform System
Delivery Pipeline
Workday HCM
Cloud Connect
SOAPAPI
Data Lake
PySpark
EIB
Workday Reporting
REST
Data Pipelines
Workday
Databricks

Job description

  • Design, develop, and maintain data integration solutions between Workday HCM/Finance and enterprise systems.
  • Build scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake.
  • Develop and optimize Workday reports, calculated fields, and data extraction processes using Workday Reporting, RaaS (Reports as a Service), and WQL (Workday Query Language).
  • Create and maintain APIs and integrations using REST and SOAP web services.
  • Develop ETL/ELT processes to ingest, transform, and load Workday data into enterprise data platforms.
  • Collaborate with HR, Finance, and business stakeholders to gather requirements and deliver data solutions.
  • Ensure data quality, governance, security, and compliance across Workday integrations.
  • Troubleshoot performance issues and optimize data processing workflows.
  • Support production deployments, enhancements, and ongoing maintenance activities., Workday Data Engineer, Workday Full Stack Engineer, Workday HCM, Workday Finance, RaaS, WQL, Workday Reporting, Databricks, PySpark, Spark SQL, Delta Lake, SQL, Python, REST API, SOAP Web Services, ETL, Data Engineering, Workday Integration, Data Pipeline Development.

Requirements

  • Strong experience with Workday HCM and/or Workday Finance.
  • Hands-on experience with RaaS, WQL, and Workday Reporting.
  • Expertise in Databricks, PySpark, Spark SQL, and Delta Lake.
  • Strong proficiency in Python and SQL.
  • Experience developing integrations using REST APIs and SOAP Web Services.
  • Knowledge of ETL/ELT design patterns and large-scale data processing.
  • Experience with cloud-based data platforms and modern data architectures.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Skills

  • Workday integration tools such as EIB, Studio, and Cloud Connect.
  • Experience with Azure, AWS, or GCP data platforms.
  • Knowledge of CI/CD pipelines and DevOps practices.
  • Understanding of data warehousing and dimensional modeling concepts.

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