Jakarta, Indonesia · Hybrid
- Develop and maintain production data pipelines and automated workflows using Python, Bash, Prefect, and SLURM for data ingestion, processing, validation, monitoring, and dissemination.
- Maintain data-intensive operational applications and forecasting systems, including L2/L3 troubleshooting, incident investigation, and reliability improvements.
- Process large-scale time-series and multidimensional datasets; build QC workflows to catch missing, inconsistent, delayed, or invalid data before downstream use.
- Build Python applications and Streamlit dashboards for analysis, visualization, climatological processing, and operational monitoring.
- Develop cloud-optimized datasets with Xarray, Zarr, and S3-compatible object storage; integrate workflows across Linux servers, HPC, and operational services.
- Benchmark, debug, and optimize compute-intensive workflows, including INACAWO, INAWAVES, and INAFLOWS production systems.
- Contribute to AI and Big Data system modernization (MMS) through technical evaluation, integration planning, and implementation support.