Cloud Data Engineer

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

Develops and maintains mission-critical information extraction, analysis, and management systems

Provides direct and responsive support for urgent analytic needs

Translates loosely defined requirements into solutions.

Uses open source technologies and tools to accomplish specific use cases encountered within the project

Uses coding languages or scripting methodologies to solve a problem with a custom workflow

Performs incremental testing actions on code, processes, and deployments to identify ways to streamline execution and minimize errors encountered

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
• Must have at least 10 years of Cloud Data Engineering experience
• Bachelors degree in Computer Science, Computer Engineering or a related field required
• 8 years of experience as a Cloud Data Engineer

Technologies

• Azure
• Databricks

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
• 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 :

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