Senior Data Engineer - ETL, Azure & Data Modeling

nttlimited

Jakarta Pusat

On-site

IDR 360,000,000 - 600,000,000

Full time

5 days ago
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Job summary

NTT DATA in Jakarta is seeking a Senior Associate Data Engineer to transform data into structured formats for analytics and reporting.

You will design data models, develop scalable ETL pipelines, and support migrations across ERP systems such as MS Dynamics, Oracle and SAP, using Azure data services and SQL-based tools. Collaboration with stakeholders is essential to deliver reliable data solutions.

Qualifications

  • Bachelor's degree in computer science, software engineering, IT, or related field.
  • SAP or Microsoft Azure certifications preferred.
  • Certified Data Engineer or related professional certification preferred.

Responsibilities

  • Contributes to the creation of data models to enable analysis.
  • Design and develop scalable ETL packages from source systems.
  • Develop ETL routines to populate data from sources.
  • Transform object and data models into database schemas.
  • Assist in testing and validation of data transformations.
  • Support data migrations across databases and ERP systems (MS Dynamics, Oracle, SAP).
  • Define data table structures and data models based on requirements.
  • Document ETL and migration processes.
  • Evaluate potential data requirements with stakeholders.
  • Assist with scoping, requirements, and prioritization for changes.

Skills

Python
Bash
Shell scripting
Perl
Analytical thinking
Communication skills

Education

Bachelor's degree in computer science / IT / software engineering
SAP / Microsoft Azure certifications
Certified Data Engineer

Tools

Microsoft Azure Data Factory
SQL Server
SAP Data Services
SAP BTP
Hadoop

Job description

NTT DATA in Jakarta is seeking a Senior Associate Data Engineer to transform data into structured formats for analytics and reporting.

You will design data models, develop scalable ETL pipelines, and support migrations across ERP systems such as MS Dynamics, Oracle and SAP, using Azure data services and SQL-based tools. Collaboration with stakeholders is essential to deliver reliable data solutions.

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