Data Engineer: Build Pipelines & Data Warehouses

PT Artha Solutions Indonesia; Jakarta Utara; On-site; IDR 200,880,000 - 312,480,000; Full time

Job summary

Artha Solutions in Jakarta is seeking a Data Engineer to build and maintain data pipelines, perform ETL, and ensure data quality. You will collaborate with data scientists and analysts to provide required datasets and help design data warehouses.

The ideal candidate has a Bachelor's in CS/Math/Stats, 3+ years of data engineering experience, strong SQL and at least one programming language (Python/Java/Scala), and familiarity with ETL tools.

Qualifications

• Bachelor's degree in CS, math, statistics or related field.
• Minimum 3 years total experience as Data Engineer.
• Proficient in SQL and at least one programming language (Python/Java/Scala).
• Experience using ETL tools (Informatica PowerCenter, Talend, IBM DataStage).
• Strong analytical and problem-solving skills; able to work independently and in a team.
• Willing to continuously learn and grow.

Responsibilities

• Build and maintain simple data pipelines.
• Perform ETL (Extract, Transform, Load) processes from various data sources.
• Clean and validate data to ensure data quality.
• Assist in designing and implementing data warehouses.
• Collaborate with data scientists and data analysts to provide required datasets.
• Continuously learn and master new technologies and tools related to data engineering.

Skills

SQL

Python

Java

Scala

ETL tools

Data quality

Education

Bachelor’s degree in CS/Math/Stats

Tools

Informatica PowerCenter

Talend

IBM DataStage

Job description

Artha Solutions in Jakarta is seeking a Data Engineer to build and maintain data pipelines, perform ETL, and ensure data quality. You will collaborate with data scientists and analysts to provide required datasets and help design data warehouses.

The ideal candidate has a Bachelor's in CS/Math/Stats, 3+ years of data engineering experience, strong SQL and at least one programming language (Python/Java/Scala), and familiarity with ETL tools.