Data Engineer

PT Nextalent Talenta Nusantara; Surabaya ꦱꦸꦫꦧꦪ; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading technology firm in Surabaya is seeking a Data Engineer to build and maintain data pipelines. You will design and manage ETL/ELT processes, optimize data models, and ensure data quality and reliability. The ideal candidate has a Bachelor's degree in Computer Science or related fields and experience with Apache Iceberg and BI tools like Power BI or Tableau. Strong analytical, problem-solving, and communication skills are critical for success in this role.

Qualifications

• Experience using Apache Iceberg.
• Experience ETL SQL Server to Parquet file using Apache Iceberg engine.
• Exposure in BI reporting with Power BI / Tableau.

Responsibilities

• Build & maintain data pipelines; design, develop, and manage ETL/ELT processes.
• Develop and manage data warehouses and data lakes; optimize data models, queries, and performance.
• Monitor pipelines and troubleshoot data issues or failures.
• Automation & integration of data workflows.

Skills

Analytical skills

Problem-solving skills

Communication skills

Education

Bachelor's degree in Computer Science, Informatics, Statistics, or related quantitative fields

Tools

Apache Iceberg

Power BI

Tableau

ETL SQL Server

Job description

Qualifications

• Bachelor's degree in Computer Science, Informatics, Statistics, or related quantitative fields.
• Experience using Apache Iceberg.
• Experience ETL SQL server to Parquet file using Apache Iceberg engine.
• Exposure in BI reporting with Power BI / Tableau.
• Strong analytical, problem‑solving, and communication skills to work in cross‑functional teams.

Responsibilities

• Build & maintain data pipelines; design, develop, and manage ETL/ELT processes to extract data from multiple sources such as databases, APIs, and third‑party systems.
• Data storage & management: develop and manage data warehouses and data lakes; optimize data models, queries, and performance.
• Data quality & reliability: monitor pipelines and troubleshoot data issues or failures.
• Automation & integration of data workflows.