Data Engineer

PT Nusantara Duta Solusindo (NDS); Jakarta Selatan; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading technology firm in Jakarta is seeking a Data Engineer to design and maintain scalable data pipelines and optimize data warehouse systems. The ideal candidate will have a Bachelor's degree in a relevant field and at least 2 years of experience in data engineering. Strong skills in SQL and cloud platforms are required. Join our dynamic team and contribute to data quality and analytics initiatives.

Qualifications

• Minimum 2 years of experience as a Data Engineer or similar.
• Proficient in at least one programming language (Python, Scala, Java).
• Experience with version control systems and CI/CD tools is a plus.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop and optimize data warehouse systems.
• Collaborate with cross-functional teams to understand data needs.

Skills

SQL

Data engineering

Problem-solving

Data modeling

ETL/ELT processes

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Apache Airflow

Talend

dbt

Luigi

Python

Google Cloud Platform (BigQuery)

AWS (Redshift)

Azure Data Factory

Git

Job description

PT. Nusantara Duta Solusindo is seeking a Data Engineer to join and strengthen our team. We are looking for a candidate who is passionate about technology, has a strong analytical mindset, excels in problem-solving, and has a proven track record in developing effective software solutions for complex systems.

Responsibilities

• Design, build, and maintain scalable and reliable data pipelines (ETL/ELT).
• Develop and optimize data warehouse and database systems (on-premise or cloud-based).
• Ensure data quality, consistency, and validation across multiple sources.
• Collaborate with data analysts, data scientists, and cross-functional teams to understand data needs.
• Deliver clean, well-structured data for reporting, analytics, and machine learning purposes.
• Implement monitoring, alerting, and logging for data workflows.
• Create and maintain comprehensive technical documentation.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related field.
• Minimum 2 years of experience working as a Data Engineer or in a similar role.
• Strong understanding of SQL, data modeling, and ETL/ELT processes.
• Experience with data pipeline tools such as Apache Airflow, dbt, Talend, or Luigi.
• Proficient in at least one programming language (e.g., Python, Scala, or Java).
• Familiarity with cloud platforms such as Google Cloud Platform (BigQuery), AWS (Redshift), or Azure Data Factory.
• Knowledge of data warehousing and data lake concepts.
• Experience with version control systems (e.g., Git) and CI/CD tools for data workflows is a plus.
• Strong communication skills and ability to work in an Agile team environment.

Note: The sections about salary expectations, qualifications, and experience are part of the application process, not job responsibilities.

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