Data Engineer at NTT Ltd

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

06 Sep, 26

Salary

0.0

Posted On

08 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP, Python, ETL Development, Data Modeling, Shell Scripting, Hadoop, Cassandra, Storm, .NET, MySQL, Microsoft SQL, Data Migration, Big Data Tools

Industry

IT Services and IT Consulting

Description

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA The Data Engineer is a seasoned subject matter expert, responsible for the transformation of data into a structured format that can be easily analyzed in a query or report. This role is responsible for developing structured data sets that can be reused or complimented by other data sets and reports. This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities. Key responsibilities: Creates data models in a structured data format to enable analysis thereof. Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources, Participates in the transformation of object and data models into appropriate database schemas within design constraints. Interprets installation standards to meet project needs and produce database components as required. Creates 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, for example MS Dynamics, Oracle, SAP and other ERP systems. Works 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. Collaborates with various stakeholders to evaluate potential data requirements. Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives. Collaborates with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models. To thrive in this role, you need to have: Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities. Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models. Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP. Seasoned understanding of data architecture landscape between physical and logical data models Analytical mindset with excellent business acumen skills. Problem-solving aptitude with the ability to communicate effectively, both written and verbal. Ability to build effective relationships at all levels within the organization. Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.). Academic qualifications and certifications: Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field. Relevant certifications preferred such as SAP, Microsoft Azure etc. Certified Data Engineer, Certified Professional certification preferred. 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. Seasoned proficiency in automation, scripting and proven examples of successful implementation. Seasoned proficiency 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. Seasoned proficiency 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. Workplace type: About NTT DATA NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. Equal Opportunity Employer NTT DATA 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, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Third parties fraudulently posing as NTT DATA recruiters NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us. 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!

Responsibilities

The Data Engineer is responsible for designing and developing scalable ETL packages and structured data models to support business analytics. This includes managing data migrations across various ERP systems and collaborating with stakeholders to define data requirements.