Back
Metro location and generic Data Engineer title increase competition, niche OSINT focus and smaller employer moderate applicant density.
OSINT, adversarial data handling and NDA-grade confidentiality demand specialized domain experience, limiting cross-industry transferability.
Strong mandatory technical stack, data-quality and operability expectations, plus NDA requirement, drive strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end pipeline domains including ingestion, transformation, orchestration, and on-call reliability to ensure trustworthy data.
Design and maintain data models and data-quality engineering features such as validation gates, poisoning detection, and anomaly alerting at production scale.
Operate and optimize pipeline performance with robust runbooks, monitoring, and documentation supporting a high-accuracy forecasting operation across multiple countries.
Work Experience Required: Not explicitly mentioned in the JD.
Must be based in New Delhi; Immediate joining required.
Expertise in SQL (including idempotent and incremental load patterns), production-level Python, and PostgreSQL 15 at scale.
Experience with orchestration tools (like Airflow), containerized deployments, and strong data-quality engineering practices is mandatory.
Demonstrated deep expertise in pipeline reliability, correctness culture, and operational excellence for data engineering at scale.
Experience working within intelligence or data-sensitive environments requiring adversarial data handling and high data integrity.
Proven capability to contribute to and enforce platform standards, mentor junior engineers, and handle urgent, time-sensitive client engagements.