Skill diminta
AWSCommunicationMariaDBMySQLPandasPostgreSQLPower BIPythonSAPSQLSnowflakeTableau
Gaji pasar untuk posisi ini
Median Rp8,7 jt/bulan · rentang umum Rp7,5 jt – Rp9,2 jt
Berdasarkan 86 lowongan Data Engineering se-Indonesia (semua level).
Gaji lowongan ini 17% di bawah median pasar.
Lihat data gaji selengkapnya →Deskripsi
Deskripsi pekerjaan Data Engineer Insignia
About the Role
You’ll be part of a hands-on consulting team building data platforms that clients actually run in production. This isn’t a support role — you’ll own workstreams, collaborate with client engineers, and be expected to ship. You’ll work across the full data lifecycle: ingestion, modeling, orchestration, and serving — on real enterprise-scale data.
Responsibilities
- Design, develop, and maintain end-to-end data pipelines for large-scale processing on cloud platforms (primarily Databricks on AWS)
- Build and optimize pipelines using Databricks — Delta Lake, Auto Loader, Workflows, and SQL Warehouses
- Implement medallion architecture (bronze/silver/gold) with proper data modeling practices
- Collaborate with client stakeholders and internal team to ensure data quality and deliver actionable insights via BI tools
- Monitor and troubleshoot data workflows in production, resolving issues in a structured and timely manner
- Write clean, maintainable PySpark and SQL code that other engineers can read and extend
- Support technical scoping and solution design during pre-sales or project kickoff phases
Requirements
- Must Have
- Min. 2 years of experience as a Data Engineer, preferably in a consulting or multi-client environment
- Strong proficiency in Python (PySpark, Pandas) and SQL — CTAS, Window Functions, CTEs
- Hands-on Databricks experience: notebooks, Delta Lake, Workflows, and SQL Warehouses
- Experience with AWS data services: S3, Glue, RDS/Aurora, or Redshift
- Solid understanding of data modeling — star schema, medallion architecture, normalization
- Version control with GitHub or GitLab in a team environment