Job Description: We are seeking an experienced Oracle Cloud HCM Payroll Functional Consultant with deep expertise in U.S. Payroll to support payroll operations, compliance, and costing configuration. The ideal candidate will be responsible for implementing, maintaining, and troubleshooting payroll processes while ensuring compliance with multi-state tax laws and financial reconciliation. Key Responsibilities: Payroll Functional Configuration: Configure and maintain Oracle Cloud Payroll components including: Payroll definitions, elements, and balance definitions Fast formulas and costing setups (element/department-level) Payroll flows and retroactive calculations Troubleshoot payroll runs and support year-end processing Taxation & Compliance: Ensure payroll configurations comply with U.S. federal, state, and local tax regulations Monitor tax updates and implement legislative changes in the system Support tax reporting processes (W-2, quarterly filings, remittances) Costing & Financial Integration: Configure and reconcile payroll costing and account combinations Validate and analyze payroll costs with ERP Identify and recommend corrective actions for discrepancies Mandatory Skills: Hands-on experience in Oracle Cloud HCM Payroll (U.S. Payroll) Strong knowledge of payroll taxation including multi-state scenarios Proven experience in payroll costing configuration and reconciliation Good to Have Skills: Familiarity with third-party tax/garnishment services (e.g., ADP, Equifax) Experience with timekeeping systems (e.g., Kronos) Knowledge of related Oracle modules such as Benefits and Compensation Understanding of Agile/Waterfall methodologies and project documentation Show more Show less

We are seeking two highly skilled Cloud & Data Engineering Specialists to join our dynamic team. These roles will focus on designing, building, and optimizing scalable cloud-based solutions, data pipelines, and analytics platforms. The ideal candidates will have strong expertise in cloud platforms, data engineering, and modern technologies, with a focus on delivering robust, secure, and efficient data solutions. Location: Off-Shore (India) Work-Hours: Overlap till 12pm CST Key Responsibilities:  Design and implement cloud solutions across Azure, AWS, and GCP platforms.  Develop and optimize data pipelines using PySpark, Python, and SQL.  Build and manage ETL workflows using Azure Data Factory (ADF).  Work with big data technologies such as Apache Spark and Databricks to process large datasets.  Design and deliver dashboards and reports using Tableau and Power BI.  Implement DevOps practices, including version control with Git, CI/CD pipelines, and containerization using Docker.  Collaborate with stakeholders to gather requirements and deliver scalable data solutions. Key Skills:  Proficiency in Azure, AWS, and GCP cloud platforms.  Strong programming skills in Python, SQL, and PySpark.  Experience with Snowflake and SQL Server databases.  Expertise in ETL tools like Azure Data Factory (ADF).  Hands-on experience with Apache Spark and Databricks for big data processing.  Proficiency in reporting tools such as Tableau and Power BI.  Knowledge of DevOps practices, including Git, CI/CD pipelines, and Docker. General Requirements:  Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).  5+ years of experience in cloud and data engineering roles.  Strong problem-solving and analytical skills.  Excellent communication and collaboration abilities.  Proven ability to work in a fast-paced, agile environment.