Data Engineer Associate | Build Pipelines & Dashboards

PT Alto Network; Jawa Tengah; On-site; IDR 200,880,000 - 312,480,000; Full time

Job summary

PT ALTO Network, a leading fintech company in Indonesia, seeks a Data Engineer/BI Engineer to design pipelines from multiple sources into Datalake and Datawarehouse in BigQuery. You will build dashboards for internal engineering needs and help document data quality controls.

You will collaborate with the BI and IT Engineering teams, ensure governance, and explore new data products while leveraging Python, SQL, and cloud data tools.

Qualifications

• Basic understanding of data architecture, data modeling, and ETL/ELT processes.
• Knowledge of data pipeline orchestration and workflow automation tools.
• Proficiency in relational databases.
• Cloud-based big data tools such as Google BigQuery, AWS Redshift, or Azure Data Lake.
• Understand Python and SQL.
• Knowledge of data quality, data security, compliance (GDPR, CCPA).
• Experience with Dashboard tools (Tableau, Looker, Metabase).
• Ability to create dashboards for operational or helicopter view for Unit Head.

Responsibilities

• Develop pipeline from multiple data sources to Datalake and Datawarehouse in BigQuery.
• Create dashboards for internal Engineering or Data Engineering needs.
• Assist Data Manager with project documentation and data quality checks.

Skills

Python

SQL

Data modeling

ETL/ELT

BigQuery

Dashboard tools

CI/CD

Docker

Kubernetes

Data quality

Data security

Education

Bachelor degree in IT/CS/Math/Statistics

Tools

Google BigQuery

Tableau

Looker

Metabase

Docker

Kubernetes

Job description

PT ALTO Network, a leading fintech company in Indonesia, seeks a Data Engineer/BI Engineer to design pipelines from multiple sources into Datalake and Datawarehouse in BigQuery. You will build dashboards for internal engineering needs and help document data quality controls.

You will collaborate with the BI and IT Engineering teams, ensure governance, and explore new data products while leveraging Python, SQL, and cloud data tools.