Data Engineer — Enterprise Data Integration

PT Global Solusindo Kompudata; Jakarta Pusat; On-site; IDR 240,000,000 - 360,000,000; Full time

Job summary

PT Global Solusindo Kompudata is seeking an experienced Data Engineer to design, implement, and maintain enterprise data integration solutions for customer environments. You will analyze sources, build pipelines, and ensure data quality across development, testing, and production stages.

The role requires strong SQL, Python, and ETL/ELT skills, plus hands-on experience with relational databases and API/data file integrations.

Qualifications

• Bachelor’s degree in Computer Science, Informatics, Information Systems, or equivalent practical experience.
• Preferably 3+ years of experience in data engineering, with ownership of production data pipelines.
• Strong SQL skills, including joins, aggregations, window functions, and query optimization.
• Hands-on experience developing and operating ETL/ELT pipelines.
• Practical Python skills for data processing, integration, and automation.
• Experience with at least one relational database (PostgreSQL, SQL Server, Oracle, or MySQL).
• Experience integrating data from databases, REST APIs, and structured files.

Responsibilities

• Analyze customer data sources, target systems, and integration requirements.
• Design, develop, configure, and maintain data pipelines connecting databases, APIs, and files.
• Implement data mappings, transformations, validation rules, and incremental loading.
• Configure connections, scheduling, error handling, monitoring, and recovery procedures.
• Test data completeness, accuracy, consistency, and processing performance.
• Deploy integration workflows across development, testing, and production environments.
• Collaborate with customer IT teams and internal consultants during implementation and handover.
• Prepare technical documentation, including mappings and configuration records.

Skills

SQL

Python

Data pipelines

Education

Bachelor's degree in Computer Science or Information Systems

Tools

PostgreSQL

MySQL

Git

Job description

We are looking for an experienced Data Engineer to build and implement enterprise data integration solutions for our customers.

Key responsibilities :

Analyze customer data sources, target systems, and integration requirements.

Design, develop, configure, and maintain data pipelines connecting databases, APIs, and files.

Implement data mappings, transformations, validation rules, and incremental loading.

Configure connections, scheduling, error handling, monitoring, and recovery procedures.

Test data completeness, accuracy, consistency, and processing performance.

Deploy integration workflows across development, testing, and production environments.

Troubleshoot pipeline failures, connectivity issues, and performance bottlenecks.

Prepare technical documentation, including mappings, configuration records, and operational procedures.

Collaborate with customer IT teams and internal consultants during implementation and handover.

Complete Informatica training and apply the knowledge to implementation projects.

Requirements :

Bachelor’s degree in Computer Science, Informatics, Information Systems, or equivalent practical experience.

Preferably 3+ years of experience in data engineering, with demonstrated ownership of production data pipelines.

Strong SQL skills, including joins, aggregations, window functions, and query optimization.

Hands‑on experience developing and operating ETL/ELT pipelines.

Practical Python skills for data processing, integration, and automation.

Experience with at least one relational database, such as PostgreSQL, SQL Server, Oracle, or MySQL.

Experience integrating data from databases, REST APIs, and structured files.

Understanding of incremental loading, duplicate prevention, retries, and safe pipeline reruns.

Familiarity with data modeling, data quality checks, and source‑to‑target reconciliation.

Working knowledge of Linux, authentication, permissions, and connectivity troubleshooting.

Familiarity with Git and version control practices.

Ability to read English technical documentation and learn new platforms independently.

Strong analytical skills, attention to detail, and willingness to work directly with customer technical teams.

Preferred Qualifications :

Experience with an ETL or workflow orchestration platform.

Exposure to data warehouses and cloud data platforms.

Experience implementing solutions in customer environments.

Familiarity with deployment automation, monitoring, and secure credential management.

Previous exposure to Informatica or other enterprise data integration tools.

Professional Development

This role provides an opportunity to expand your data engineering experience into enterprise solution implementation through Informatica training, hands‑on projects, and relevant certification pathways.

Your application will include the following questions:

• Berapa gaji bulanan yang kamu inginkan?
• How many years' experience do you have as a Data Engineer?
• Kualifikasi mana yang kamu miliki?