Collaborate with business stakeholders to gather requirements, configure Workday HCM and related modules, manage business processes, create reports and support EIB integrations. Handle security administration, testing, deployment and production support while delivering scalable HRIS solutions aligned with business objectives.

Manage Workday Core HCM business processes, security configurations, EIB data loads and organizational hierarchies. Monitor integrations, resolve support tickets through JIRA and ServiceNow, create reports and maintain HR data structures. Collaborate with HR and IT stakeholders to ensure smooth Workday operations and continuous process improvements.

Lead end-to-end Workday implementations including Core HCM, Payroll, Talent Management, Learning and Compensation modules. Configure Workday solutions, optimize business processes, oversee data migration, manage reporting and analytics, support system upgrades and provide continuous application support while coordinating with stakeholders and leadership teams.

Manage employee lifecycle transactions and workforce administration activities using Workday and HR service delivery tools. Process employee transfers, relocations, leave requests and organization changes. Respond to client queries, maintain HR records, coordinate with stakeholders and ensure accurate HR service delivery while meeting SLA and quality requirements.

Design, develop, deploy and support enterprise Workday integrations and Workday Extend applications. Build inbound and outbound integrations for HCM, Payroll, Finance and Benefits systems using EIB, Workday Studio, APIs and connectors. Manage security, governance, testing, production support and integration monitoring while collaborating with stakeholders and mentoring junior developers.

Work as a Workday HCM and Compensation Consultant within IBM Consulting to implement, configure and support Workday Core HCM and Core Compensation modules. Gather client requirements, conduct fit-gap analysis, configure solutions, troubleshoot functional issues, perform unit testing and provide post-implementation support. Develop Workday reports and assist organizations in improving HR, talent management, payroll and compensation processes through cloud-based Workday solutions.

Looking for candidate with Rest Bus Simulation experience. Responsibilities In-depth knowledge of CAN/CAN FD, LIN, UDS, Ethernet/SOME/IP, and TCP/IP protocols Strong proficiency in CAPL scripting (CANoe), Python, or C++. Experience with Vector CANoe/CANalyzer, dSPACE ControlDesk/ConfigurationDesk, or NI hardwares. Understanding of ECU development, diagnostics, Gateway and automotive network architectures. Strong analytical and technical documentation skills. High degree of innovation and a mind.

Experience in one or more high level programming languages like Python or Ruby or GoLang and familiar with Object Oriented Programming. Design and implement the CI/CD/CT pipeline on one or more tool stack, like Jenkins, Bamboo, azure DevOps, and AWS Code pipeline with Proficiency in one or more Infrastructure as code tools (e.g. Terraform, Cloud Formation, Azure ARM etc.) Developing, managing monitoring tools and log analysis tools to manage operations with exposure to tools such as App Dynamic.

Amazon Music Catalog's vision is to be the most comprehensive and source of information about music and artists in the world. We build platforms and verticals that allow this vision to materialize. We use state of the art technologies and Machine Learning algorithms to enrich the catalog metadata in order to enable the magical experiences Amazon Music is known for on Alexa. It is still Day 1 for voice, and the catalog team is in the heart of making this experience better for customers. The Amaz.

Do you want to be part of a team building machine learning applications that process and analyze transactions worth billions of dollars a day using the latest technology? Do you want to make a tangible impact measured in terms of millions of dollars saved? In our Finance Technology group, we develop machine learning systems that scrutinize billions of dollars in transactions from across Amazon's businesses. Our mission is to drive wider adoption of machine learning solutions for finance process.