Hybrid Data Specialist: ETL, Models & Analytics

NTT Ltd.; Johannesburg; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid Working

Job summary

NTT DATA is seeking a Data Specialist for a 6-month contract. You will transform raw data into analyzable structures, develop reusable data sets, and build data models to support analytics across management, operations, and data science capabilities.

You will design scalable ETL pipelines, migrate data across MS Dynamics, Oracle, SAP, and other ERP systems, and collaborate with IT and business teams to refine data requirements and improve data tables and queries.

Qualifications

• Bachelor’s degree in computer science, software engineering, information technology, or related field.
• Certifications such as SAP, Microsoft Azure preferred.
• Certified Data Engineer or similar professional certification preferred.

Responsibilities

• Create data models in a structured data format to enable analysis.
• Design and develop ETL packages from business source systems.
• Develop data migrations across databases and ERP systems.
• Collaborate with stakeholders to define data requirements and scoping.
• Test data transformations and ensure accuracy of data pipelines.
• Document ETL processes and data model changes.

Skills

Python

Perl

Shell scripting

Big data

Data modeling

ETL development

Education

Bachelor’s degree in CS/IT

Certified Data Engineer

SAP certification

Tools

Microsoft Azure Data Factory

SAP Data Services

SAP BTP

SQL Analysis Server

MySQL

Microsoft Excel

Hadoop

Job description

NTT DATA is seeking a Data Specialist for a 6-month contract. You will transform raw data into analyzable structures, develop reusable data sets, and build data models to support analytics across management, operations, and data science capabilities.

You will design scalable ETL pipelines, migrate data across MS Dynamics, Oracle, SAP, and other ERP systems, and collaborate with IT and business teams to refine data requirements and improve data tables and queries.