Big Data Engineer (Forward Deployed Engineer) Offline

In our project, we help organizations turn big and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. We turn petabytes of raw data into clear, actionable insights by applying advanced analytics to multi-sourced data, enabling customers to gain comprehensive understanding of organizations, events, and behaviors across land, sea, air, cyber and space domains.

We are seeking a Big Data Engineer (Forward Deployed Engineer) to work on-site in Kyiv, supporting critical geospatial analytics and natural language processing initiatives. This hybrid role combines hands-on big data engineering with product development work, focusing on analyzing massive datasets to surface actionable intelligence patterns and behavioral insights.

As a forward-deployed engineer, you will be embedded directly with the operations team, working on cutting-edge projects that transform petabytes of structured and unstructured geospatial data into strategic intelligence. You'll play a crucial role in developing and optimizing the data fusion capabilities that reduce task force response times from days to hours, while collaborating closely with multidisciplinary teams supporting mission-critical applications.

1. RESPONSIBILITIES
   1. Design and implement scalable big data processing pipelines for ingesting and analyzing petabytes of multi-modal geospatial datasets
   2. Develop and optimize data fusion algorithms that automatically identify relationships and surface hidden patterns in near real-time
   3. Build and maintain robust data engineering infrastructure supporting behavioral analytics and anomaly detection at unprecedented scale
   4. Collaborate with data scientists and analysts to translate complex analytical requirements into production-ready data processing solutions
   5. Implement and optimize natural language processing workflows for unstructured data analysis and entity relationship extraction
   6. Ensure data quality, governance, and security compliance across all data processing workflows
   7. Document data architectures, processing standards, and operational procedures to support knowledge transfer and audit readiness
   8. Participate in incident response and troubleshooting for data pipeline and processing issues
   9. Develop custom attribution and modeling technologies for real-time threat detection and opportunity identification specific to regional requirements
   10. Build integration layers connecting the data engine with tactical mission networks and front-end visualization tools used by local partners
   11. Implement behavioral analytics capabilities that enable rapid identification of meaningful activities, patterns, and anomalies in complex regional datasets
   12. Support product development initiatives by prototyping new analytical capabilities and validating them against real-world operational scenarios
   13. Present analytical findings, insights, and recommendations to both technical and executive audiences, translating complex data relationships into actionable intelligence
   14. Conduct on-site client workshops and training sessions on the analytical capabilities and data products
   15. Optimize data processing performance for tactical decision-making timelines, ensuring sub-hour response times for critical intelligence queries

SKILLS

1. Big Data Technologies: 4+ years hands-on experience with distributed computing frameworks (Apache Spark, Hadoop, Kafka, Flink)
2. Programming Proficiency: Expert-level skills in Python, Scala, or Java for large-scale data processing; SQL expertise for complex analytical queries
3. Geospatial Analytics: Experience with geospatial data formats (GeoTIFF, SHP, KML, NetCDF) and processing libraries (GDAL, PostGIS, GeoPandas, Shapely)
4. Cloud Platforms: Proficiency with cloud-based big data services (Azure Data Factory, Databricks, HDInsight, or AWS equivalents)
5. Data Engineering: Strong understanding of ETL/ELT pipelines, data warehousing concepts, and real-time streaming architectures
6. Database Systems: Experience with both SQL (PostgreSQL, SQL Server) and NoSQL (MongoDB, Cassandra, Elasticsearch) database technologies
7. DevOps & Infrastructure: Familiarity with containerization (Docker, Kubernetes), CI/CD pipelines, and infrastructure-as-code principles
8. Performance Optimization: Proven track record of optimizing big data workloads for speed, cost, and reliability at petabyte scale
9. Real-time Analytics: Required hands-on experience building low-latency data processing systems for near real-time behavioral analytics and alerting
10. Geospatial Intelligence: Required understanding of GEOINT workflows, temporal analysis, and multi-source intelligence fusion methodologies
11. Data Visualization Integration: Required experience integrating data engines with tactical visualization tools and mission planning software
12. Multi-source Data Fusion: Required proven ability to correlate and analyze disparate data sources (satellite imagery, communications data, social media, sensor networks)
13. Client Presentation Skills: Required experience presenting complex technical findings to diverse audiences including C-level executives, leadership, and technical teams
14. Stakeholder Management: Required ability to manage multiple client relationships simultaneously while delivering high-quality technical solutions
15. Security Awareness: Required understanding of data security best practices, particularly in sensitive operational environment 

BENEFITS:

• Fair Compensation: Enjoy a competitive salary and bonuses that recognize your hard work.
• Work-Life Balance: Choose from flexible work arrangements, whether you prefer working from home, the office, or a mix of both.
• Grow with Us: Take advantage of opportunities for professional growth through training, certifications, and attending exciting conferences.
• Care for Your Well-being: Benefit from comprehensive health benefits, wellness programs, and other perks designed to support your overall well-being.