Senior Data Engineer — ETL & Data Warehouse Expert

PT Hireup Solusi Talenta; Jakarta Barat; On-site; IDR 240,000,000 - 360,000,000; Full time

Job summary

PT Hireup Solusi Talenta mencari Data Engineer berpengalaman untuk merancang, membangun, dan memelihara arsitektur data. Anda akan mengelola RDBMS, menulis skrip SQL, menyusun store procedures, serta mengoptimalkan ETL untuk integrasi data dari berbagai sumber seperti basis data, API, dan log file.

Posisi ini menuntut pemahaman kuat tentang data warehouse, data marts, ODS, dan manajemen master data. Kemampuan analitis, kerja tim, dan komunikasi yang baik sangat penting untuk sukses dalam peran

Qualifications

• Minimum 4 years of experience as Data Engineer, responsible for developing, maintaining, and managing RDBMS with SQL scripts and stored procedures.
• S1 from IT/Informatics/CS/IS with GPA at least 3.00.
• Experience building data pipelines for data integration using ETL tools (SSIS, Pentaho, Talend).
• Knowledge of data warehousing, data marts, ODS, and master data management.

Responsibilities

• Extract, transform, load (ETL) data from multiple sources including databases, APIs, and log files.
• Implement data quality checks and monitoring to ensure accuracy and consistency.
• Collaborate with Business Analysts to understand data needs and translate into technical specs.
• Analyze and modify data platform systems for improvements and maintenance.
• Ensure data system quality and reliability, considering user perspective.
• Test developed and maintained data solutions.
• Demonstrate proactive teamwork and attention to detail.

Skills

ETL pipelines

SQL scripting

Data analysis

Problem solving

Team collaboration

Education

Bachelor's degree in IT / Informatics / CS / Information Systems (GPA >= 3.00)

Tools

SSIS

Pentaho

Talend

Database design

Job description

PT Hireup Solusi Talenta mencari Data Engineer berpengalaman untuk merancang, membangun, dan memelihara arsitektur data. Anda akan mengelola RDBMS, menulis skrip SQL, menyusun store procedures, serta mengoptimalkan ETL untuk integrasi data dari berbagai sumber seperti basis data, API, dan log file.

Posisi ini menuntut pemahaman kuat tentang data warehouse, data marts, ODS, dan manajemen master data. Kemampuan analitis, kerja tim, dan komunikasi yang baik sangat penting untuk sukses dalam peran