Data Engineer - Dimension Data - Table View

NTT is a leading global IT solutions and services organisation that brings together people, data and things to create a better and more sustainable future. In today's 'iNTTerconnected' world, connections matter more now than ever. By bringing together talented people, world-class technology partners and emerging innovators, we help our clients solve some of the world's most significant technological, business and societal challenges. With people at the heart of our success, NTT is committed to attracting and growing the best talent and providing an environment where everyone feels they can belong and their contribution matters. Want to be a part of our team? The Data Engineer is responsible for the transformation of data into a structured format that can be easily analysed in a query or report. The role is responsible for developing structured data sets that can be reused or compliment other data sets and reports. The individual analyses the data sources and data structure and will design and develop data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities. Working at NTT Key Roles and Responsibilities: Create data models in a structured data format to enable analysis thereof Design 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 required Create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations Accountable for running data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems Work across multiple IT and business teams to define and implement data table structures and data models based on requirements Accountable for analysis, and development of ETL and migration documentation Collaborate with various stakeholders to evaluate potential data requirements Accountable for the definition and management of scoping, requirements, definition, and prioritisation activities for small-scale changes and assist with more complex change initiatives Collaborate with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models Knowledge, Skills and Attributes: Seasoned in the definition and management of scoping requirements, definition and prioritisation activities Good understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models Specialist either in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP Good understanding of data architecture landscape between physical and logical data models Analytical mind and business acumen Problem-solving aptitude Academic Qualifications and Certifications: Bachelor's degree with 3 years related professional experience Relevant certifications, e.g., SAP, Microsoft Azure Certified Data Engineer, Certified Professional Required Experience: Seasoned experience as a data engineering, data mining within a fast-paced environment Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale Seasoned experience with architecture and design of secure, highly available and scalable systems. Proficient in automation, scripting and proven examples of successful implementation Proficient in scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.) Seasoned experience with big data tools like Hadoop, Cassandra, Storm etc Seasoned experience in any applicable language, preferably .NET Proficient in working with SAP, SQL, MySQL databases and Microsoft SQL Seasoned experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots Seasoned experience working in internet technologies, e.g., SaaS 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? Workplace type: Hybrid Working 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 Join our growing global team and accelerate your career with us. Apply today. A career at NTT means: Being part of a global pioneer - where you gain exposure to our Fortune 500 clients and world-leading global technology partners and work with a network of over 40,000 smart and diverse colleagues across 57 countries, delivering services in over 200 countries. Being at the forefront of cutting-edge technology - backed with a 150-year heritage of using technology for good. With 40% of the world's internet traffic running on our network and where Emoji were first invented, you can be proud of the group's many new 'firsts'. Making a difference - by doing meaningful work that helps to shape the future for our clients, and across industries and communities around the world. Being your best self - in a progressive 'Connected Working' environment that promotes flexibility, connection and wellbeing. Where diversity and different perspectives are embraced to ensure equal opportunities for all. Having ongoing opportunities to own and develop your career - with a personal and professional development plan and access to the broadest learning offerings in the industry. Apply Now

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Data Engineer - Table View

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