Key Roles and Responsibilities:Create data models in a structured data format to enable analysis thereofDesign and develop scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources, Participate in the transformation of object and data models into appropriate database schemas within design constraints. Interpret installation standards to meet project needs and produce database components as requiredCreate test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformationsAccountable for running data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systemsWork across multiple IT and business teams to define and implement data table structures and data models based on requirementsAccountable for analysis, and development of ETL and migration documentationCollaborate with various stakeholders to evaluate potential data requirementsAccountable for the definition and management of scoping, requirements, definition, and prioritisation activities for small-scale changes and assist with more complex change initiativesCollaborate with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data modelsKnowledge, Skills and Attributes:Seasoned in the definition and management of scoping requirements, definition and prioritisation activitiesGood understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data modelsSpecialist either in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTPGood understanding of data architecture landscape between physical and logical data modelsAnalytical mind and business acumenProblem-solving aptitudeAcademic Qualifications and Certifications:Bachelor's degree with 3 years related professional experienceRelevant certifications, e.g., SAP, Microsoft AzureCertified Data Engineer, Certified ProfessionalRequired Experience:Seasoned experience as a data engineering, data mining within a fast-paced environmentProficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scaleSeasoned experience with architecture and design of secure, highly available and scalable systems.Proficient in automation, scripting and proven examples of successful implementationProficient in scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.)Seasoned experience with big data tools like Hadoop, Cassandra, Storm etcSeasoned experience in any applicable language, preferably .NETProficient in working with SAP, SQL, MySQL databases and Microsoft SQLSeasoned experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivotsSeasoned experience working in internet technologies, e.g., SaaSSkills SummaryBig Data Solutions, Business Analysis, Data Analysis, Data Analytics, DATABASICS, Data Lake, Data Modeling, Data Structures, Unstructured DataWhat will make you a good fit for the role?Workplace type: Hybrid WorkingEqual Opportunity EmployerNTT is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category
