Tanggung Jawab Pekerjaan

Data Architecture & Design
Experience designing scalable, secure, and high-performance data warehouse solutions.
Strong understanding of data governance, security, and privacy best practices.
Knowledge of data quality frameworks, testing, and monitoring

Syarat & Keahlian

SQL — Advanced querying, optimization, performance tuning.
ETL/ELT Development — Using tools like dbt, Apache Airflow, Informatica, Talend, or custom pipelines.
Data Modeling — Strong understanding of star schema, snowflake schema, dimensional modeling, normalized/denormalized structures.
Cloud Platforms — Experience with AWS, Azure, or Google Cloud data services.
Scripting/Programming — Python, Scala, or similar for data pipeline development.
Version Control — Familiarity with Git or similar tools.
Familiarity with CI/CD pipelines for data infrastructure is a plus.

Pengalaman

2. Technical Experience
✅ 5-8+ years of professional experience in Data Engineering, Data Warehousing, or Business Intelligence.
✅ Experience designing, building, and maintaining Data Warehouse solutions at scale.
✅ Hands-on experience with at least one major Data Warehouse technology:
Snowflake, Redshift, BigQuery, Azure Synapse, Teradata, etc

Benefit

Bonus base on the management and performance