Cari Lowongan Kerja

1. Building and Managing Data Pipelines: Organizing the flow of data from various sources.
2. Developing Data Infrastructure: Managing databases, data warehouses, and data lakes.
3. Ensuring Data Quality and Security: Maintaining data integrity and security.
4. Optimizing Data Systems: Improving data processing and storage efficiency.
5. Collaborating with Data Teams: Providing data for analysis and business needs.

- Familiar with Python, Apache Kafka, Apache Nifi, Airflow
- Familiar with Datamining, DWH Architecture and Data Processing
- Familiar with Tableau, Power BI- Problem Solver, Creative thinking
- Broad knowledge in IT technology and curious to learn new technology

- Familiar with Python, Apache Kafka, Apache Nifi, Airflow
- Familiar with Datamining, DWH Architecture and Data Processing
- Familiar with Tableau, Power BI- Problem Solver, Creative thinking

- Minimum 3 year experience as Data Engineer
- At least S1 from IT Fields
- Good attitude