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Data Scientist-Imagery Ingest & Data Platform

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Role summary
You’ll build and operate our imagery ETL: automated ingest from open/commercial sources, a searchable metadata catalog, cloud-optimized/tiled storage, and model-ready datasets. You own orchestration, reliability, data quality; handoff to MLEs for cost monitoring and production model serving.

What you’ll do

  • Automate ingestion (e.g., Sentinel/Landsat
  • and commercial feeds), harmonize provider metadata to STAC, and build asearchable STAC catalog.
  • Implement preprocessing: cloud masking,

mosaicking, pyramids/tiling, geospatial indexing (GeoParquet/PostGIS).

  • Orchestrate pipelines with Airflow/Prefect;

optimize compute/storage (S3/GCS, COGs, partitioning).serving with containers/Kubernetes and proper queuing/scaling.costs; trigger alerts for anomalies/spikes.(MLflow/Kubeflow/CI/CD), strong logging/observability, and clear dataschemas/APIs to the platform.

Must-have

  • Stand up reliable batch/online model
  • Monitor timeliness, availability, and
  • Ensure reproducibility.
  • 3+ years as a data engineer; hands-on EO
  • preprocessing with rasterio/xarray preferred.
  • Strong Python; experience with GCS,

containers, and Kubernetes.

  • Proven orchestration with Airflow/Prefect

and production observability.tile-serving strategies.batch/online inference to real users.or Ray) for large-scale imagery processing.

Nice-to-have

  • Geodata modeling (PostGIS/GeoParquet) and
  • Practical MLOps exposure—delivered
  • Manage a parallel compute framework (Spark
  • Cost-optimized large-scale EO processing
  • and commercial feed integrations.
  • COG pipelines, STAC catalogs,

multi-AOI/time-range caching strategies.

  • Data security and access control for

geospatial services.

Why Centersource

  • You own the backbone that makes our models
  • usable, scalable, and affordable.
  • Direct business impact: your pipelines

drive decisions, forecasts, and revenue.reliability, performance, and cost.

  • Product-centric environment focused on

Job Types: Full-time, Permanent

Pay: ₹574,559.22 - ₹1,924,363.31 per year

Benefits:

  • Provident Fund

Education:

  • Doctorate (Required)

Experience:

  • Data science: 5 years (Required)

Language:

  • English (Required)
  • Swedish (Required)

Location:

  • Remote (Required)

Work Location: Remote

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