Add expected salary to your profile for insightsScope: SAPGet necessary clarification from local business users and SME during all project phases.Track the project progress, capture risk and work on mitigations.Provide necessary project status/progress to implementer and Client stakeholder.Work independently on projects.Write user requirements and configure the system to the requirements.Work in an onsite/offshore team model and bring out the results with team members.Manage the risk to avoid any disruption to the operations and to ensure smooth completions.Meet project delivery deadlines and manage costs.Clear communication and documentation for the role.Experience:Minimum 5 years of experience in SAP, with 1-2 years of experience in a full cycle SAP implementation as well as in support projects.Relevant SAP Certification; possess knowledge and experience.Extensive experience of using Scrum/Agile project management methodologies.Experience in handling S/4HANA Finance, project management.Knowledgeable in performing configuration for at least 3 of the SAP modules.Knowledge in FI integration points with other SAP modules such as SD, MM, HR, PP and PM is an added advantage.Cross-functional experience in MM, SD & FICO.Knowledge of SAP IRPA, SAP BTP, SAP BPA, SAP Signavio, SAP CPI, SAP Sustainability, S/4HANA.Scope: Data ScienceAs a Data Scientist, you will provide data integration (including cloud) following CLIENT standard and architecture in a standardized manner.Provide data ETL/ELT between multiple data layers in CLIENT Enterprise Data Hub (EDH).Develop, construct, test and maintain data architectures, set or model based on business requirement.Support and solve integration issues, either at application level or infra and network level.Identify the bottlenecks in the existing data pipelines, propose and lead the efforts to optimize and automate the data pipeline works.Work on collecting, storing, processing, and analyzing huge sets of data from various sources.Support and maintain all data repository to ensure all data are properly catalogued and identified.Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities.Experience:Minimum 3 years of experience in a senior Data Scientist role.Data Modelling and Data Warehousing skills.Experience in Data Transformation using ETL/ELT tools such as AWS Glue, Factory, Talend, EAI-Web Methods.Strong experience in: PySpark, Azure Databricks, ADF, ADLS with CI/CD, API & MS SQL.Experience in database query using SQL and Cloud Data-related tools (Microsoft Azure, Amazon S3).Experience with any data virtualization platform.Knowledge Graph (KG) libraries and development; Data Ingestion in KG.Query Analysis - unstructured data processing and storage in indexes.Personalization implementation and models.MLOps implementation and ML monitoring.NER (Name Entry Recognition) build, maintain and retain.Able to create documentation on the data pipelines and data models developed.Scope: Data AnalyticsMinimum 3+ years of experience in Data Analytics.Extract, analyze, interpret & identify patterns in data from various tables or reports.Managing master data, including creation, updates, and deletion.Generate reports from single or multiple systems.Report the results of analysis to multiple team members.Supporting initiatives for data integrity and normalization.Assess the quality of data and filter/clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.Experience in Database query using SQL.Advanced Excel Skills including pivot tables, graphics, and general advanced functions.Understanding and expertise in Machine Learning (ML), and Artificial Intelligence (AI).Scope: Software DevelopmentDesign, develop, modify, debug and/or maintain software code according to functional, non-functional and technical design specifications.Follow client's software engineering standards, applicable software development methodology and release processes.Investigate issues by reviewing/debugging code, provide fixes and workarounds.Collaborate with other software developers, business analysts, and software architects.Assist in the collection and documentation of user's requirements, development of user stories, estimates, and work plans.Prepare reports, manuals, and other documentation on the status, operation, and maintenance of software.Analyze and resolve technical and application problems.Identify and encourage areas for growth and improvement.Experience:Minimum 3 years of experience in software product development.Proficient with Microsoft .NET development using C# and core technical areas like ASP.NET, MVC, WCF, LINQ, EF, SQL, JavaScript, CSS, AJAX, etc.Proficiency in HTML, CSS, JavaScript, and jQuery.Experience working in an Agile/Scrum development process.Good problem-solving skills and excellent verbal communication skills.Team Player.Scope: Technical RecruitmentIdentify and actively develop potential new clients.Work closely with existing clients to ensure we are delivering across various verticals.Build a talent pool of candidates in the Technology landscape.Manage candidates through the entire recruitment process.Company
Kris Infotech is a Technology Company focusing on Digital Transformation, Supply Chain Management, Cyber Security, Data & AI, and Microsoft projects.
We also deliver product solutions around AIOps & DevOps.Kris Infotech is headquartered in Singapore, with offices in Malaysia, the US, and Hong Kong.
We service clients in APAC.Going forward, we plan to develop a SCM Solution (Azure based) through our development team based in Malaysia.
We wish to hire and train local Malaysian IT & SCM consultants to be the core of our initiatives.Be careful: This job ad has not been subjected to our hirer verification process.
Proceed cautiously and do your own checks before providing any personal information.#J-18808-Ljbffr