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Job Location | Delhi |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Telecom / ISP |
Functional Area | Quality (QA-QC),General / Other Software |
EmploymentType | Full-time |
About NokiaAt Nokia we create the technology to connect the world. Developing and delivering the industrys only end-to-end portfolio of network equipment, software, services and licensing that is available globally. Through our research teams, including the world-renowned Nokia Bell Labs, Nokia is leading the world to adopt end-to-end 5G networks that are faster, more secure and capable of revolutionizing lives, economies and societies. Nokia adheres to the highest ethical business standards as we create technology with social purpose, quality and integrity. A truly global company, we are 160 nationalities working in more than 100 countries.Job DescriptionAnalytics Data Architecture & Quality (ADA) comprises the design, architecture, and development of scalable data models, test and maintain systems and processes to collect, transform, store, and enable analysis of structured and unstructured data, taking into account considerations related to privacy, security, reliability, and scalability. Contains curation of data and ensures data quality and integrity. Covers creation and maintenance of a data dictionary of all key sources and tables. Comprises documentation of key stakeholders and dependencies as well as the gathering, clarification, and translation of business and data requirements into documentations and conceptual designs from which technical solutions are developed. Contains advising of clients on appropriate data governance capabilities. The Data Quality Engineer is responsible for design, architecture, documentation, and development of scalable data models. Adapts Extract Transform Load (ETL) processes to accommodate changes in source systems and to respond to changes in business requirements. Takes ownership of the data specification dictionary and ensures that data feeds continue to meet this specification. Ensures consistency and accuracy of KPI metrics through continuous monitoring of data quality. Identification and prioritisation of data quality issues and alignment with business change projects and BAU Key Performance Indicators (KPI) reporting. Performs ad hoc analytical tasks to support business analysts and the introduction of new analytical models. Works closely and collaboratively with data access and reporting teams, data curators, business analysts, subject matter experts and other stakeholders to implement modern data architectures of the highest quality.Job Responsibilities & CompetenciesIntroduce flat file and RosettaNet process to new EMS Ensure flat file and RosettaNet data quality and availability from EMS Support E2PR component simulation by ensuring that needed data is available and usable Act as an escalation point towards E2Open, HCL and EMS s Contact point for projects needing EMS data More specificChecking that the files are correctly sent and in the frequency agreed Manually manipulating them in order to have the correct format to be uploaded: to ensure that files are correctly uploaded into P22 tables Add new plants and update factory calendars to E2PR Guide HCL Support and guide EMS SCM in discussion with EMS s about data needs and how to provide correct data Ensure manual creation to E2PR for BOM/VI/process Act as a key user for the team what comes to different IT/tool projects Support weekly component and finished goods simulation Run weekly SCEM master reports Investigate tool behaviour in case simulation result is unexpected FI33 sales BOM updates for ohub items Skill ProfileNokia Business & Customer Business Understanding Demand Supply Chain Systems & Process General Product knowledge E2RP knowledge SAP knowledge Communication skills Purchasing process understanding E2E supply chain process understanding ,
Keyskills :
data modelsunstructured datadata dictionaryquality assurancesupply chaindata architecturedata qualitydata feedsqualityauditingdata governancesubject matter expertskey performance indicatorsfinished goods