Job Summary
A company is looking for a Senior Geospatial Data Engineer to lead the design and implementation of scalable, cloud-based geospatial data infrastructures.
Key Responsibilities
- Architect, design, and maintain scalable data pipelines and infrastructures for geospatial applications
- Lead the development and optimization of ETL processes for large volumes of geospatial and tabular data
- Collaborate with engineers and stakeholders to deliver high-impact data products and ensure data quality and security
Required Qualifications
- Experience in software development, data engineering, or big data roles with a focus on geospatial data
- Proficiency in Python and experience with relational databases (e.g., SQL)
- Experience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure)
- Deep experience with big data technologies such as Hadoop, Spark, or Kafka
- Demonstrated ability to lead projects and mentor team members
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