The Practice Specialist will design, develop, and implement software solutions that integrate with SAP FI modules, collaborate with cross-functional teams to gather and analyze business requirements related to financial processes, conduct thorough testing and debugging, provide technical guidance to junior developers, participate in code reviews, document technical specifications, and assist in deployment and maintenance of applications.

Wabtec is hiring a HR People Analytics Analyst with 3 - 7 years experience in Bengaluru. Job Description: The HR People Analytics Analyst plays a critical role in enabling a data-driven HR function by transforming workforce data into insights that support strategic decision-making across the organization. This role is responsible for gathering, analyzing, interpreting, and visualizing complex HR data to help leaders understand workforce health, organizational trends, and opportunities for improvement.

6-11 years experience in IT Services with expertise in Workday integration and strong knowledge of EIB technology stack Design, develop, test, and deploy Workday integrations; collaborate with teams to gather requirements; develop automated integration tests using Java or Python; troubleshoot and support integrations Roles and Responsibilities : Design, develop, test, and deploy Workday integrations using various tools such as EIB (Enterprise Integration Bus). Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop automated tests for integration testing of Workday integrations using Java or Python programming languages. Troubleshoot issues related to Workday integrations and provide technical support to resolve them. Job Requirements : 6-11 years of experience in IT Services & Consulting industry with expertise in Workday integration. Strong understanding of EIB (Enterprise Integration Bus) technology stack. Proficiency in developing automated tests for integration testing using Java or Python programming languages.

Design, develop, test, and deploy Workday reports and Prism Analytics solutions to support business requirements. Integrate Workday with enterprise applications using APIs and integration tools, troubleshoot reporting and integration issues, develop complex SQL queries for data retrieval, collaborate with stakeholders to gather reporting requirements, optimize reporting performance, and deliver scalable analytics solutions while ensuring data accuracy and system reliability.

The Workday Integrator Consultant will design, develop and support Workday integrations between Workday and external enterprise systems. Responsibilities include developing inbound and outbound data flows, building integrations using Workday integration tools and custom code, performing testing, deployment and production support, troubleshooting integration issues, ensuring data accuracy, collaborating with stakeholders, and maintaining reliable integration solutions.

The Workday Integrator Consultant will design, develop and support Workday integrations between Workday and external enterprise systems. Responsibilities include developing inbound and outbound data flows, building integrations using Workday integration tools and custom code, performing testing, deployment and production support, troubleshooting integration issues, ensuring data accuracy, collaborating with stakeholders, and maintaining reliable integration solutions.

Lead Workday integration initiatives using Workday Studio, PECI/PICOF Connectors, XSLT and Web Services. Design and maintain enterprise integrations with payroll and benefits platforms including ADP and SDWorx, implement secure integration protocols such as OAuth 2.0, OpenPGP and x509, develop solutions using JSON, XML, Java, Python and JavaScript, utilize tools including Postman, SOAP UI, Oxygen and Jira, support Workday Extend, reporting and payroll integrations, and collaborate with project teams to deliver enterprise Workday integration solutions.

Build next-generation recommendation systems, run A/B experiments, apply deep learning and transformer models, collaborate with engineering teams, and optimize ML platforms at scale.

Develop backend applications using Python, create REST APIs, work with SQL databases, process data using Pandas and NumPy, and support cloud-based deployments.

Develop next-generation AI and machine learning solutions for mobility and transportation systems. Extract insights from large-scale mobility datasets, build predictive models, develop proof-of-concept applications and collaborate with engineering and DevOps teams on innovative AI projects.