ATREIDES is a leader in advanced geospatial technologies, big data solutions, and data analytics. We are seeking a highly skilled Senior Data Engineer with a strong focus on big data, data analytics, and geospatial data intelligence to join our engineering team.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Geospatial Intelligence, Data Science, or a related field, or equivalent experience.
- 5+ years of experience in software engineering, with a focus on building and optimizing large-scale platforms for big data, data analytics, or geospatial data.
- Expertise in big data frameworks and technologies (e.g., Hadoop, Spark, Kafka, Flink) for processing large datasets.
- Proficiency in programming languages such as Python, Java, or Scala, with a focus on big data frameworks and APIs.
- Experience with cloud services and technologies (AWS, Azure, GCP) for big data processing and platform deployment.
- Strong knowledge of data warehousing, data lakes, and data pipeline design for large-scale data integration and storage.
- Familiarity with machine learning and AI techniques for data analytics (e.g., classification, regression, clustering, anomaly detection).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying scalable applications.
- Strong understanding of geospatial concepts and techniques (e.g., spatial queries, coordinate systems, projections).
- Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus.
- Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data.
Benefits
- Competitive salary
- Comprehensive health, dental, and vision insurance plans
- Flexible hybrid work environment
- Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave