Data Engineer: ETL, Data Modeling & Analytics

Nttlimited

Jakarta Pusat

On-site

IDR 420,000,000 - 650,000,000

Full time

14 days+

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Job summary

NTT DATA seeks a Senior Associate Data Engineer to transform data into analysis-ready structures and develop reusable data sets. You will design data models, build ETL routines, and ensure data quality across ERP systems like SAP and MS Dynamics.

Strong SQL, Python, and Azure Data Factory skills are required. You will collaborate with stakeholders to define data requirements, implement scalable data solutions, and contribute to migration projects while maintaining robust documentation and

Qualifications

  • Bachelor's degree in computer science, software engineering, information technology, or related field.
  • Relevant certifications preferred (SAP, Microsoft Azure).
  • Certified Data Engineer or similar certification preferred.

Responsibilities

  • Create structured data models to enable analysis.
  • Design and develop scalable ETL packages from source systems.
  • Transform objects and data models into database schemas.
  • Validate data transformations and test scenarios with stakeholders.
  • Support data migrations across databases and ERP systems (MS Dynamics, Oracle, SAP).
  • Define data table structures and data models per requirements.
  • Develop ETL and migration documentation.
  • Evaluate potential data requirements with stakeholders.
  • Assist with scoping, requirements, and prioritization for changes.

Skills

Data engineering
ETL
Python
Perl
Bash/Shell
SQL
Azure Data Factory
SAP Data Services
SAP BTP
Hadoop
Cassandra
.NET

Education

Bachelor's degree in computer science or related field

Tools

Microsoft Azure Data Factory
SQL Server

Job description

NTT DATA seeks a Senior Associate Data Engineer to transform data into analysis-ready structures and develop reusable data sets. You will design data models, build ETL routines, and ensure data quality across ERP systems like SAP and MS Dynamics.

Strong SQL, Python, and Azure Data Factory skills are required. You will collaborate with stakeholders to define data requirements, implement scalable data solutions, and contribute to migration projects while maintaining robust documentation and

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