Associate Data Engineer Job at NTT DATA (Selangor Darul Ehsan)

Associate Data Engineer

NTT DATA

Location:
Malaysia , Selangor Darul Ehsan

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Associate Data Engineer is an entry level role within the Data Engineering job family. This role is, tasked with assisting with the transformation of data into a structured format that can be easily analyzed in a query or report. This role is responsible for supporting with the development of 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 will design and develop data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities.

Job Responsibility:

Supports the creation of data models in a structured data format to enable analysis thereof
Assists with the design and development of scalable extract, transform 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. Interpret installation standards to meet project needs and produce database components as required
Takes direction from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Assists with running data migrations across different databases and applications, for example, MS Dynamics, Oracle, SAP and other ERP systems
Supports the definition and implementation of data table structures and data models based on requirements
Takes part in analysis, and development of ETL and migration documentation
Receives detailed instructions from various stakeholders to evaluate potential data requirements
Assists with the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
Takes direction from various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models

Requirements:

Knowledge of the definition and management of scoping requirements, definition and prioritization activities
Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Understanding of data architecture landscape between physical and logical data models
Analytical mindset with good 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
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
Basic experience as a data engineering, data mining within a fast-paced environment
Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale
Basic experience with architecture and design of secure, highly available and scalable systems
Familiarity with automation, scripting and proven examples of successful implementation
Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.)
Basic experience with big data tools like Hadoop, Cassandra, Storm etc.
Basic experience in any applicable language, preferably .NET
Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL
Basic experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots

Additional Information:

Job Posted:
March 19, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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