Data Engineer

Skills this role screens for

About the role

NTT Data is hiring for the role of Data Engineer!

The work

Responsibilities of the Candidate

• 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.

Who they want

Requirements

• 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.).
• 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.