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Data Infrastructure Engineer (DBA & Data Engineering)

ISI

Location
Onsite (Or Yehuda, ISRAEL)
Employment
Full-time
Level
Senior Level
Posted 1 week ago

About the role

ImageSat International (ISI) is a global leader in geospatial intelligence, providing earth observation satellite imagery and AI-driven analytics for defense and intelligence customers. The company seeks a Data Infrastructure Engineer to design and maintain data systems, manage production databases, and process large-scale geospatial data and satellite imagery.

Skills

PostgreSQL PostGIS Python SQL Data Engineering Database Administration Kafka Debezium Apache Spark ETL/ELT Geospatial Data Data Lineage Data Catalog Cloud Infrastructure Satellite Imagery Metadata Management

Full job details

ImageSat International (ISI) combines advanced earth observation satellites, space and ground infrastructure, and AI-driven analytics to deliver geospatial intelligence.

We're looking for a hands-on Data Infrastructure Engineer to join our team! The role combines database administration, data engineering, and large-scale data processing across cloud and on-premises environments, focusing on geospatial data, satellite imagery, and metadata.


Requirements

  • B.Sc. in Computer Science, Software Engineering, Information Systems, Geoinformatics, or a related field, or equivalent practical experience.
  • 5+ years of experience in DBA and/or Data Engineering, including production systems across cloud and on-premises environments.
  • 2+ years of experience with geospatial data and/or large image datasets.
  • Strong SQL and Python skills.
  • Hands-on experience with PostgreSQL/PostGIS and spatial data.
  • Experience with ETL/ELT pipelines, streaming technologies (e.g., Kafka), and CDC (e.g., Debezium).
  • Experience with Data Catalog and Data Lineage tools.
  • Experience with Apache Spark or similar frameworks and object storage.
  • Production database experience, including security, backup, restore, high availability, and troubleshooting.
  • Ability to work independently and collaborate across teams.

Responsibilities

  • Design, implement, and maintain data infrastructure across cloud and on-premises environments.
  • Manage production databases, including security, monitoring, backups, recovery, and performance optimization.
  • Develop ETL/ELT pipelines, streaming processes, and data synchronization.
  • Process and manage geospatial data, satellite imagery, and metadata.
  • Ensure data quality, availability, and scalability while collaborating with technical teams.

Advantages

  • Experience with GIS tools (GDAL/OGR, Rasterio, GeoPandas, QGIS, ArcGIS, GeoServer) and geospatial formats (COG, STAC, GeoParquet, Zarr).
  • Experience with Airflow, Kubernetes, Infrastructure as Code, and CI/CD.
  • Experience with AWS, Azure, or GCP data services.
  • Knowledge of Data Lakes and formats such as Parquet, Iceberg, or Delta.
  • Experience with satellite or aerial imagery and large scientific datasets.