Want to be a part of our team?Designs, builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.Working at NTTThe Data Engineer is tasked with transforming data into a format that can be easily analysed, by developing, maintaining and testing infrastructures for data generation.The role is responsible for developing machine learning methods with the company's data assets to optimize business and operational decisions. The individual identifies, designs and implements a sound architecture to support the predictive analytics requirement of the business.Key roles and responsibilities:Provide detailed advice regarding data applications and executing specialised tasksCreate databases optimised for performance and to structure data to enable analysis thereofProvide support and assistance on data initiatives and ensure optimal data delivery architecture in support of client projectBuild the infrastructure for optimal extraction, transformation of data from a wide variety of data sources using SQL and AWAD big data technologiesDesign and develop scalable ETL packages from the business source systemsDevelop the ETL routines in order to populate data from sourcesBuild test scenarios to enable thorough testing and validation to support accuracy of data transformationEnable and run data migrations across different databases and different serversDefine and implement data stores based on system and consumer requirementsAssess, analyse, develop, document and implement changes based on requests for changeAssess and analyse release componentsModelling tests in coordination with testers maintaining and administering the tools and methodsEnsuring information exchange with configuration managementEnsure release processes and procedures are maintainedInvestigates operational needs and problems, and opportunities, contributing to the recommendation of improvements in automated and non-automated components of new or changed processes and organisationDefines and manages scoping, requirements definition and proriotisation activities for changesInvestigates, manages and applies authorised requests for changes to base-lined requirements, in line with the change management policyInterprets installation standards to meet project needs and produces database components as requiredEvaluate potential solutions, demonstrating, installing and commissioning selected productsApply ethical and robust techniques in the transformation of data from one format to another, in line with organisational policies and proceduresCollaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the companyImplement processes and systems to monitor data quality, ensuring production data is accuratePerforms data analysis required to troubleshoot data related issues and assist in the resolution of data issuesTest the reliability and performance of each part of new and/or existing systemsDeploying machine learning models into the production environmentKnowledge, skills and attributesMaintains knowledge of specific specialismsDemonstrate the ability to plan and organiseAbility to develop and nurture improved performance across sales and/or serviceProficient with statistical analysis tools like R, SAS, SPSSAnalytical mind and business acumenProblem-solving aptitudeWorking knowledge or Power BI to create reports, dashboards and measuresKnowledge of augmented analytics, data visulation, data virtualisation and data governance solutions and implementationsExcellent problem solving and troubleshooting skillsHighly process orientated with great documentation skillsStrong working and conceptual knowledge of building and maintaining physical and logical data modelsStrong analytical skills related to working with unstructured datasetsAbility to manipulate, process and extract value from large, disconnected datasetsStrong project management and organisational skillsAbility to work under pressure and meet deadlinesSolid understanding of database design principlesExcellent oral and written communication skills with a keen sense of customer serviceAbility to manage and communicate data warehouse plans to internal clientsAcademic qualifications and certifications: Relevant qualification (Bachelor's in computer science, information technology or applied math)Relevant certification, e.g. Certified Data engineer, Certified Professional, etc)Experience required:Proven experience working with data engineering, data mining within a fast-paced environmentExperience in building modern data analytics solutions that delivers insight from large and complex data sets with multi-terabyte scaleProgramming experience in any applicable language, preferably .NETGood experience working with SQL, MySQL databases and Microsoft SQLExperience working with data sets and ordering data through MS Excel functions, e.g. macros, pivotsExperience working in internet technologies, e.g. Saas, Iaas and PaasExperience with big data tools like Hadoop, Cassandra, Storm, EtcExperience with writing scripts using scripting language (Perl, bash, Shell, Scripting, Python, etc.)Experience in automation, scripting and proven examples of successful implementationExperience with architecture and design of secure, high available and scalable systemsExperience building modern data analytics solutions that delivers insights from large and complex data setsExperience with architecture and design of secure, highly available and scalable systemsExperience working in internet technologiesSkills 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?Remote Type: Equal 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
