We are seeking a detail-oriented and experienced PeopleSoft HCM North America Payroll Functional Specialist to manage and support payroll processes within the PeopleSoft Human Capital Management (HCM) system, specifically for North American operations. This role requires a deep understanding of payroll compliance, system configuration, and functional integration across various modules. Peoplesoft HCM Functional (North America Payroll) | 4-8 Y | Hybrid | HYD | Bangalore | Chennai | Pune | Mumbai | Delhi | Kolkata | Quick Joiner | Type of Work: Contract 12 M Mode of Work: Hybrid (Anyone Location as above) Interview Process: 2 Virtual Session + 1 F2F (If required) Responsibilities Payroll Processing: Manage end-to-end payroll cycles for North American employees, including regular, bonus, and commission payments. Ensure strict compliance with federal, state, and local payroll regulations. System Configuration: Configure and maintain the PeopleSoft HCM payroll module. Set up pay groups, earnings, deductions, tax elections, and banking details aligned with North American payroll requirements. Compliance & Reporting: Maintain compliance with labor laws and tax regulations. Prepare and file payroll reports including W-2s, 1099s, and statutory payments. Handle inquiries from tax authorities and stay updated with tax updates. Data Management: Ensure accurate and secure payroll data management. Integrate data inputs from other modules and external systems. Troubleshooting & Support: Identify, analyze, and resolve payroll issues such as overpayments and underpayments. Support end-users by resolving payroll-related queries effectively. Testing & Validation: Conduct testing during system upgrades, patches, and new implementations. Validate payroll results to ensure accuracy and compliance. Collaboration: Coordinate with HR, Finance, and IT teams for system integration and process alignment. Engage with stakeholders to gather requirements and provide updates on payroll activities. Continuous Improvement: Identify opportunities to improve payroll processes and efficiency. Keep current with PeopleSoft HCM enhancements and North American payroll best practices. Required Functional Experience: Proficiency in the following PeopleSoft modules: Core HR Base Benefits & Administration Payroll (North America) Absence Management Additional Qualifications: Strong understanding of HR and payroll business processes. Ability to troubleshoot and resolve client-reported issues. Skilled in interpreting functional designs and resolving related issues. Experience in requirements gathering and working on system enhancements. Ability to create and update functional design documentation. Proficient in developing test plans and scripts for upgrades and patches. Desired Qualifications: Bachelor’s degree in Human Resources, Information Systems, or related field. Prior experience working in large-scale PeopleSoft HCM environments. Show more Show less

We are seeking a seasoned Salesforce FSL Solution Lea d with over a decade of Salesforce development experience, including deep expertise in Field Service Lightning (FSL). The ideal candidate will lead the design, development, and deployment of complex Field Service solutions, providing technical direction, stakeholder guidance, and hands-on leadership. This role demands extensive knowledge in Salesforce architecture, FSL mobile capabilities, integrations, and agile delivery models. Salesforce Solution Lead Field Service Lightning | 10-17 Y | Hybrid | 12 Noon Shift | Noida | Bangalore | Quick Joiner | Work Shift: 12:00 Noon – 10:00 PM IST Preferred Locations – Noida, Bangalore, Hyderabad (Hybrid – 3 days in-office per week) 10+ years of Salesforce development experience with a minimum of 5+ years in Field Service Lightning (FSL) Responsibilities Lead end-to-end Salesforce FSL implementations including scoping, design, configuration, and deployment Customize and optimize the FSL mobile application, including offline capabilities Guide development efforts using Apex, Lightning Web Components (LWC), Visualforce, and Salesforce platform tools Define and manage technical architecture, data models, and integration patterns Collaborate with business analysts and stakeholders to align technical solutions with business goals Ensure compliance with coding standards, performance best practices, and security requirements Provide architectural mentorship and leadership to development teams Facilitate Agile/Scrum ceremonies and guide the team through sprint-based development Qualifications & Required Skills: 10+ years of Salesforce development experience with strong expertise in Field Service Lightning Expertise in Apex, Visualforce, Lightning Web Components (LWC), and related development tools In-depth knowledge of the FSL data model, architecture, and functionality Proven experience with FSL mobile app customization and offline capabilities Proficiency in REST and SOAP APIs for external integrations Strong understanding of object-oriented programming principles and design patterns Excellent problem-solving, analytical, and communication skills Experience leading teams and driving solution delivery in complex enterprise environments Desired Skills: Salesforce certifications such as Platform Developer I/II, Field Service Lightning Consultant Experience integrating Salesforce FSL with ERP or service management systems Familiarity with DevOps practices, Salesforce DX, and CI/CD pipelines Background in mentoring developers and managing cross-functional technical teams

We are scaling an AI/ML enabled Enterprise SAAS solution to help manage cash performance of large enterprises, including multiple Fortune-500 companies. You would be owning the architecture responsibility during the 1-10 journey of the product in the FinTech AI space. Senior Data Engineer (ETL) | 6-9 Y | Hyderabad (Hybrid) | B2B / SaaS - Fintech Exp | Preferences: Fintech Exp and Locals, F2F Required - Final Round @ Hyderabad Office Engineering & CS Graduates from Premium Colleges - IIT / NIT / BITS / REC / NIT Interview Process: 3 Technical Sessions + 1 CTO Round + 1 F2F - Managerial Round (MUST) Job Role: Design, build, and optimize data pipelines to ingest, process, transform, and load data from various sources into our data platform Implement and maintain ETL workflows using tools like Debezium, Kafka, Airflow, and Jenkins to ensure reliable and timely data processing Develop and optimize SQL and NoSQL database schemas, queries, and stored procedures for efficient data retrieval and processing Work with both relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, DocumentDB) to build scalable data solutions Design and implement data warehouse solutions that support analytical needs and machine learning applications Collaborate with data scientists and ML engineers to prepare data for AI/ML models and implement data-driven features Implement data quality checks, monitoring, and alerting to ensure data accuracy and reliability Optimize query performance across various database systems through indexing, partitioning, and query refactoring Develop and maintain documentation for data models, pipelines, and processes Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs Stay current with emerging technologies and best practices in data engineering Ability to perform independent research to understand the product requirements and customer needs Communicates effectively with the project teams and other stakeholders. Translate technical details to non-technical audience. Expert at creating architectural artifacts for Data Warehouse. Team, effort management. Ability to set expectations for the client and the team. Ensure all deliverables are delivered in time at highest quality. Required Skills: 5+ years of experience in data engineering or related roles with a proven track record of building data pipelines and infrastructure Strong proficiency in SQL and experience with relational databases like MySQL and PostgreSQL Hands-on experience with NoSQL databases such as MongoDB or AWS DocumentDB Expertise in designing, implementing, and optimizing ETL processes using tools like Kafka, Debezium, Airflow, or similar technologies Experience with data warehousing concepts and technologies Solid understanding of data modeling principles and best practices for both operational and analytical systems Proven ability to optimize database performance, including query optimization, indexing strategies, and database tuning Experience with AWS data services such as RDS, Redshift, S3, Glue, Kinesis, and ELK stack Proficiency in at least one programming language (Python, Node.js, Java) Experience with version control systems (Git) and CI/CD pipelines Bachelor's degree in computer science, Engineering, or related field from Premium Colleges - IIT / NIT / BITS / REC / NIT