Banking Cloud Data Engineer - GCP & Airflow Specialist

PT. SIGMA GLOBAL TEKNOLOGI (SIGMATECH); Tangerang Selatan; On-site; IDR 200,880,000 - 357,120,000; Full time

Benefits offered by this job

Medical allowance

THR

BPJS

Annual & Sick Leaves

Job summary

SIGMATECH is seeking a Cloud Data Engineer in Indonesia to design and manage cloud-based data solutions for Banking/Financial Services. You will work with GCP tools such as BigQuery and Cloud Composer, develop data pipelines with Airflow, and optimize SQL queries. Strong Python skills and collaboration are essential.

The role emphasizes hands-on cloud data engineering, ETL/ELT processes, and delivering reliable data architectures while communicating effectively with stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, or related fields.
• 3+ years of experience as Cloud Data Engineer / Data Engineer / Cloud Engineer or related role.
• Experience in Banking / Financial Services is mandatory.
• Strong experience in designing and managing cloud-based data solutions.
• Hands-on with Google Cloud Platform (GCP) including BigQuery, Cloud Composer, Apache Airflow.
• Strong data pipeline development and orchestration using Airflow/Cloud Composer.
• Proficiency in Python for data engineering and automation.
• Strong SQL skills with query optimization and data manipulation.
• Understanding of ETL/ELT processes and data pipeline architectures.
• Familiar with cloud-based data warehouse concepts and best practices.
• Strong analytical, problem-solving, and troubleshooting skills.
• Good communication and collaboration skills.

Skills

Python

SQL

ETL/ELT

Airflow

Cloud Composer

BigQuery

GCP

Data pipelines

Cloud engineering

Communication

Problem solving

Education

Bachelor’s degree in CS/IT/IS

Tools

Google Cloud Platform

Apache Airflow

Job description

SIGMATECH is seeking a Cloud Data Engineer in Indonesia to design and manage cloud-based data solutions for Banking/Financial Services. You will work with GCP tools such as BigQuery and Cloud Composer, develop data pipelines with Airflow, and optimize SQL queries. Strong Python skills and collaboration are essential.

The role emphasizes hands-on cloud data engineering, ETL/ELT processes, and delivering reliable data architectures while communicating effectively with stakeholders.