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　　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 NTT

　　The 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 tasks

　　Create databases optimised for performance and to structure data to enable analysis thereof

　　Provide support and assistance on data initiatives and ensure optimal data delivery architecture in support of client project

　　Build the infrastructure for optimal extraction, transformation of data from a wide variety of data sources using SQL and AWAD big data technologies

　　Design and develop scalable ETL packages from the business source systems

　　Develop the ETL routines in order to populate data from sources

　　Build test scenarios to enable thorough testing and validation to support accuracy of data transformation

　　Enable and run data migrations across different databases and different servers

　　Define and implement data stores based on system and consumer requirements

　　Assess, analyse, develop, document and implement changes based on requests for change

　　Assess and analyse release components

　　Modelling tests in coordination with testers maintaining and administering the tools and methods

　　Ensuring information exchange with configuration management

　　Ensure release processes and procedures are maintained

　　Investigates operational needs and problems, and opportunities, contributing to the recommendation of improvements in automated and non-automated components of new or changed processes and organisation

　　Defines and manages scoping, requirements definition and proriotisation activities for changes

　　Investigates, manages and applies authorised requests for changes to base-lined requirements, in line with the change management policy

　　Interprets installation standards to meet project needs and produces database components as required

　　Evaluate potential solutions, demonstrating, installing and commissioning selected products

　　Apply ethical and robust techniques in the transformation of data from one format to another, in line with organisational policies and procedures

　　Collaborates 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 company

　　Implement processes and systems to monitor data quality, ensuring production data is accurate

　　Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues

　　Test the reliability and performance of each part of new and/or existing systems

　　Deploying machine learning models into the production environment

　　Knowledge, skills and attributes

　　Maintains knowledge of specific specialisms

　　Demonstrate the ability to plan and organise

　　Ability to develop and nurture improved performance across sales and/or service

　　Proficient with statistical analysis tools like R, SAS, SPSS

　　Analytical mind and business acumen

　　Problem-solving aptitude

　　Working knowledge or Power BI to create reports, dashboards and measures

　　Knowledge of augmented analytics, data visulation, data virtualisation and data governance solutions and implementations

　　Excellent problem solving and troubleshooting skills

　　Highly process orientated with great documentation skills

　　Strong working and conceptual knowledge of building and maintaining physical and logical data models

　　Strong analytical skills related to working with unstructured datasets

　　Ability to manipulate, process and extract value from large, disconnected datasets

　　Strong project management and organisational skills

　　Ability to work under pressure and meet deadlines

　　Solid understanding of database design principles

　　Excellent oral and written communication skills with a keen sense of customer service

　　Ability to manage and communicate data warehouse plans to internal clients

　　Academic 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 environment

　　Experience in building modern data analytics solutions that delivers insight from large and complex data sets with multi-terabyte scale

　　Programming experience in any applicable language, preferably .NET

　　Good experience working with SQL, MySQL databases and Microsoft SQL

　　Experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots

　　Experience working in internet technologies, e.g. Saas, Iaas and Paas

　　Experience with big data tools like Hadoop, Cassandra, Storm, Etc

　　Experience with writing scripts using scripting language (Perl, bash, Shell, Scripting, Python, etc.)

　　Experience in automation, scripting and proven examples of successful implementation

　　Experience with architecture and design of secure, high available and scalable systems

　　Experience building modern data analytics solutions that delivers insights from large and complex data sets

　　Experience with architecture and design of secure, highly available and scalable systems

　　Experience working in internet technologies

　　Skills Summary

　　Big Data Solutions, Business Analysis, Data Analysis, Data Analytics, DATABASICS, Data Lake, Data Modeling, Data Structures, Unstructured Data

　　What will make you a good fit for the role?

　　Remote Type :

　　Equal Opportunity Employer

　　NTT 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

　　Is innovation part of your DNA? Do you want to enable a connected future for people, organizations, and society?

　　Join our growing global NTT family and you’ll be part of the world’s largest ICT company (by revenue). We’ve combined the capabilities of 28 remarkable companies to become one, leading technology services provider. Together, we help our people, clients, and communities do great things with technology to create a more secure and connected future.

　　We employ 40,000 people across 57 countries. By bringing together the world’s best technology companies and emerging innovators, we work together to deliver sustainable outcomes to businesses and the world. Innovation is part of our DNA. We believe it’s key to what makes us different. So, we strive to move forward, challenge the status quo, and drive excellence through the technologies we integrate and the services we deliver around the world. The result is connected cities, connected factories, connected healthcare, connected agriculture, connected conservation, connected mobility, and connected sport. Together we enable the connected future.

　　You’ll be joining a global employer that is committed to attracting, growing and keeping the best talent. A place where you will be at the heart of our success!