| Data Full stack Engineer Workday ERP & Databricks at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3356838&uid=b9261b5fa38d4f679b462c57975dfbe2 Role: Data Full stack Engineer Workday ERP & Databricks Location : Troy, MI Duration: 6+ months Data Full Stack Engineer Workday ERP & Databricks (Focused JD) Must Have Experience Strong hands-on experience with Workday Financial Management modules including General Ledger, Accounts Payable, Accounts Receivable, Customer Invoicing, Supplier and Customer Master data Proven experience with Workday Reporting including RaaS (Reports-as-a-Service), custom reports, calculated fields and WQL for downstream data consumption Solid Workday integration experience using REST and SOAP APIs, including handling security, authentication and incremental data extracts 3+ years of experience building and optimizing data pipelines on Databricks using PySpark, Spark SQL and Delta Lake Strong SQL and Python skills with experience in enterprise-scale data modeling Experience working on cloud platforms, preferably Azure Key Responsibilities Lead extraction of Workday Finance and HCM data with primary focus on Finance reporting and analytics use cases Design, develop and maintain Workday reports and APIs to support reliable data integrations Build and manage scalable ETL/ELT pipelines in Databricks, following Bronze, Silver and Gold Lakehouse patterns Manage Workday integration setup including Integration System Users, security domains and access controls Implement data quality checks, monitoring and error handling for production data pipelines Collaborate closely with Finance, HR and Analytics teams to deliver trusted, analytics-ready datasets Required Skills Deep understanding of Workday Finance data structures and reporting concepts Hands-on expertise in Workday Reporting, RaaS, WQL and integration services Strong Databricks skills including PySpark, Spark SQL and Delta Lake Data integration and ETL best practices in cloud environments Advanced SQL, Python and data modeling skills Understanding of data governance, security and access management Role Descriptions: About the RoleWe are looking for a seasoned Data Fullstack Engineer who combines deep functional knowledge of Workday ERP (Finance and HCM) with strong hands-on expertise in the Databricks data platform. In this role| you will own the end-to-end data lifecycle from extracting and integrating Workday data through scalable pipelines| to building analytical assets that power business decisions across Finance and HR.This is a unique profile that bridges the gap between ERP domain knowledge and modern data engineering. You will work closely with Finance| HR| and IT stakeholders to ensure Workday data flows reliably into our Lakehouse architecture and is transformed into trusted| governed datasets ready for analytics and AI.Workday Integration Data ExtractionDesign and build integrations to extract data from Workday Financial Management (GL| AP| AR| Customer Invoices| Customer Master| Supplier data) and HCM (Workers| Compensation| Absence| Recruiting| Talent) modulesDevelop and maintain custom reports using Workday RaaS (Reports-as-a-Service)| WQL (Workday Query Language)| and SOAPREST APIsConfigure and manage Integration System Users (ISUs)| security groups| and OAuth 2.0 API clients within WorkdayCollaborate with Workday functional consultants and administrators to identify optimal data sources| understand business object relationships| and resolve data quality issuesImplement incremental sync patterns| error handling| and monitoring for production-grade Workday integrationsDatabricks Data PlatformBuild and optimize scalable ETLELT pipelines in Databricks using PySpark| Spark SQL| and Delta LakeDesign and implement a Lakehouse architecture (Bronze Silver Gold) for Workday Finance and HCM data| ensuring data quality at every layerDevelop and maintain data models that serve downstream analytics| reporting| and machine learning use casesLeverage Databricks Unity Catalog for data governance| access control| lineage| and complianceOptimize Databricks workloads for performance| cost efficiency| and reliability (cluster configuration| job scheduling| auto-scaling)Implement data quality frameworks (expectations| validation rules| anomaly detection) within the pipelineAnalytics Business EnablementBuild curated datasets and Gold-layer views for Finance (billing summaries| aging reports| revenue analytics) and HR (headcount| turnover| compensation benchmarking) use casesCollaborate with business analysts and data scientists to understand requirements and deliver self-service data productsCreate and maintain dashboards and reporting integrations (Power BI| Tableau| or similar) connected to the Databricks LakehouseDocument data pipelines| data dictionaries| and integration specificationsWhat You BringRequired5 years of experience in data engineering| integration development| or a related data rol years of hands-on experience with Workday ERP| including at least one of oWorkday Financial Management (Gener Essential Skills: About the RoleWe are looking for a seasoned Data Fullstack Engineer who combines deep functional knowledge of Workday ERP (Finance and HCM) with strong hands-on expertise in the Databricks data platform. In this role| you will own the end-to-end data lifecycle from extracting and integrating Workday data through scalable pipelines| to building analytical assets that power business decisions across Finance and HR.This is a unique profile that bridges the gap between ERP domain knowledge and modern data engineering. You will work closely with Finance| HR| and IT stakeholders to ensure Workday data flows reliably into our Lakehouse architecture and is transformed into trusted| governed datasets ready for analytics and AI.Workday Integration Data ExtractionDesign and build integrations to extract data from Workday Financial Management (GL| AP| AR| Customer Invoices| Customer Master| Supplier data) and HCM (Workers| Compensation| Absence| Recruiting| Talent) modulesDevelop and maintain custom reports u Best Regards, Ankitha Papana , [email protected] -- Keywords: artificial intelligence business intelligence information technology Arkansas California Michigan Data Full stack Engineer Workday ERP & Databricks [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3356838&uid=b9261b5fa38d4f679b462c57975dfbe2 |
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| 11:03 PM 07-May-26 |