Deskripsi pekerjaan
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 3+ years of experience in Data Engineering or a related role. Strong proficiency in SQL and Python . Experience with PySpark , Apache Spark , or similar distributed data processing frameworks. Hands-on experience with AWS and cloud-based data platforms. Experience with Databricks is highly preferred. Strong understanding of ETL/ELT pipelines , data integration, and workflow orchestration. Knowledge of data warehouse concepts , dimensional modeling, and modern data architecture. Experience processing and optimizing large-scale datasets. Familiarity with CI/CD , Git, and deployment best practices. Strong analytical, problem-solving, and communication skills. Able to work collaboratively in Agile environments. Professional proficiency in English is required; Bahasa Indonesia is preferred.
Tanggung jawab: Design, develop, and optimize scalable data pipelines, transformation logic, and curated datasets to support reporting, KPI automation, and business analytics; Build and maintain ETL/ELT pipelines using SQL, Python/PySpark, and cloud data technologies; Develop, optimize, and maintain data workflows to ensure performance, scalability, and reliability; Support data modeling, reconciliation, validation, and performance tuning; Ensure data quality, governance, security, and maintainability across data platforms; Collaborate with BI, QA, Product, and Business teams throughout development, testing, and production deployment; Participate in code reviews, troubleshooting, and continuous improvement of data engineering processes.
Kualifikasi: Experience designing enterprise-scale data architecture and end-to-end data platforms; Strong expertise in performance tuning, optimization, and cloud-native data engineering solutions; Experience mentoring junior engineers and providing technical leadership; Proven track record of leading complex migration, integration, or data modernization projects.
Tanggung jawab
- Design, develop, and optimize scalable data pipelines, transformation logic, and curated datasets to support reporting, KPI automation, and business analytics
- Build and maintain ETL/ELT pipelines using SQL, Python/PySpark, and cloud data technologies
- Develop, optimize, and maintain data workflows to ensure performance, scalability, and reliability
- Support data modeling, reconciliation, validation, and performance tuning
- Ensure data quality, governance, security, and maintainability across data platforms
- Collaborate with BI, QA, Product, and Business teams throughout development, testing, and production deployment
- Participate in code reviews, troubleshooting, and continuous improvement of data engineering processes
Kualifikasi
- Experience designing enterprise-scale data architecture and end-to-end data platforms
- Strong expertise in performance tuning, optimization, and cloud-native data engineering solutions
- Experience mentoring junior engineers and providing technical leadership
- Proven track record of leading complex migration, integration, or data modernization projects
Informasi lowongan
- Tipe pekerjaan
- Full-time
- Gaji
- Rp 12.000.000 – Rp 18.000.000 per month