Technical and Professional Requirements: 2+ Years Relevant Experience:1 E2E implementation, Support or Rollout experience Mandatory Skills: SAP Fieldglass (Contingent Workforce, Services Procurement & Profile Worker, Custom Reporting, Integration knowledge for SAP & Non-SAP applications, Data requirement & Connector functionality Experienced in SAP Fieldglass implementation, configurations, support, rollout and testing for Contingent Workforce, Services Procurement (SOW Based Services), Profile Worker, Custom Reporting, Integration Involved on creating master data configuration and reporting setup Extensive working knowledge of Integration setup SAP Fieldglass with SAP Ariba, SAP ECC or S/4HANA & SuccessFactors Integration experience with ASAPIO Cloud Integrator will be an added advantage Working experience of Agile/Activate Project Methodology Preferred Skills: Technology->SAP Functional->SAP Fieldglass Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Educational Requirements Bachelor of Engineering Service Line Enterprise Package Application Services

ML Engineers 3-10 yrs Hybrid/ Pune 2 days WFO Time: 2-11 or 10-7 Certifications: Big plus if they are certified ML Engineers. Skills: Python, SQl is a must and need strong exp. certified candidates scikit-learn, tensorflow, pytorch Scientific python libs : Numpy, pandas, pyspark, dask, matplotlib, transformers, plotly Generative AI , Cloud (Azure) - Cloud is for Senior roles Big Data is a huge Plus people who worked with larger sets, for ex: FMCG, retail, telecom, oil and gas upstream/ downstream.

IT Business Analyst Hybrid/ Pune 2 days WFO Time: 2-11 or 10-7 Exp: Overall 8-12 yrs, relevant of 6-7 years in IT BA in oil/gas, Energy, Manufacturing (Mandatory) Certifications: BA Certifications is a plus Skills: (This requirement is an IT requirement) Oil and gas/ Energy domain is mandatory Requirement Gathering, Agile + Scrum, User Stories, Project Roadmap, Backlogs ADO is preferred. Candidate who has experience in QA, API, Systems, will be a plus as its an IT role SAP and SFDC is nice to have. Great comm skills

Project Manager Hybrid/ Pune 2 days WFO, Time: 2-11 or 10-7 Exp: 5-10 yrs relevant exp in Project Management in oil/gas, Energy, Manufacturing (Mandatory) - Certifications: PMP (Mandatory), PMI, SAFe, CSM and other Certifications. Skills: (This requirement is an IT requirement) Oil and gas/ Energy domain is mandatory Stake holder management is mandatory Team Management Agile + Scrum is mandatory ADO is preferred. PI planning, Project roadmap Candidate who has experience handling multiple IT Projects in domains mentioned above SAP and SFDC is nice to have. Great comm skills

SAP MDG/SAP ECC experience (T codes, Tables structures etc) Azure Data lake /AWS/Data Bricks Leveraging SAP MDG/ECCs experience the candidate is able to deep dive to do root cause analysis for assigned use cases. Also able to work with Azure data lake (via data Bricks) using SQL/Python. Data Model (Conceptual and Physical) will be needed to be identified and built that provides automated mechanism to monitor on going DQ issues. Multiple workshops may also be needed to work through various options and identifying the one that is most efficient and effective Works with business (Data Owners/Data Stewards) to profile data for exposing patterns indicating data quality issues. Also is able to identify impact to specific CDEs deemed important for each individual business. Identifies financial impacts of Data Quality Issue. Also can identify business benefit (quantitative/qualitative) from a remediation standpoint along with managing implementation timelines. Schedules regular working groups with business that have identified DQ issues and ensures progression for RCA/Remediation or for presenting in DGFs Identifies business DQ rules basis which KPIs/Measures are stood up that feed into the dashboarding/workflows for BAU monitoring. Red flags are raised and investigated Understanding of Data Quality value chain, starting with Critical Data Element concepts, Data Quality Issues, Data Quality KPIs/Measures is needed. Also has experience owing and executing Data Quality Issue assessments to aid improvements to operational process and BAU initiatives Highlights risk/hidden DQ issues to Lead/Manager for further guidance/escalation Support designing, building and deployment of data quality dashboards via PowerBI Determines escalation paths and constructs workflow and alerts which notify process and data owners of unresolved data quality issues Collaborates with IT & analytics teams to drive innovation (AI, ML, cognitive science etc.) Works with business functions and projects to create data quality improvement plans Sets targets for data improvements / maturity. Monitors and intervenes when sufficient progress is not being made Supports initiatives which are driving data clean-up of existing data landscape Owns and develops relevant data quality work products as part of the DAS data change methodology Ensures data quality aspects are delivered as part of Gold and Silver data related change projects Supports the creation of business cases with insight into the cost of poor data

SoC NoC Verification Engineer - Lead India,Bangalore Full time Job Description SoC NoC Verification Lead with 10+ years of experience, the role typically expands to include leadership, strategic planning, and advanced debugging. This role involves developing test plans, writing verification code, debugging issues, and collaborating with design teams to validate complex interconnect systems. Key Responsibilities: Lead verification projects for complex SoC and NoC architectures. Develop advanced verification methodologies using SystemVerilog/UVM . Guide teams in debugging and resolving intricate design issues . Optimize performance, power, and coverage metrics . Work with high-speed interconnect protocols (AXI, CHI, PCIe, Ethernet, CXL, UCIe). Manage testbench architecture and automation frameworks .

Below are the Candidate Profile Expectations Must have end-to-end transition transformation management experience. Candidates must have functional transition management. Should have led transitions independently, not just supported them. Must be location and time-agnostic due to global coordination. Should be confident in stakeholder communication, including senior leadership. Must be able to articulate risks, manage escalations, and drive delivery. Due Diligence & Scoping: Engage with business and internal stakeholders. Document and report the current state ("as-is") of the business. Present findings to leadership and facilitate discussions. Coordination & Hiring: Coordinate with the hiring team at the receiving location. Track profiles and hiring progress. Knowledge Transfer & Training: Develop detailed training plans (duration, trainers, schedule). Conduct and track training sessions. Perform proficiency assessments post-training. Stabilization & Handover: Oversee the stabilization phase post-transition. Governance & Reporting: Participate in governance calls and weekly reviews. Report risks, performance issues, and mitigation plans. Maintain RAID logs (Risks, Actions, Issues, Dependencies). Profiles with Transaction Operations are not suitable so this will not be considered. Candidates with application/data migration experience are not suitable and will not be considered