expertise to support an eCrime Defense team focused on detecting, investigating, and preventing cyber threats.
Key Responsibilities
Build and maintain scalable data pipelines using
Python
Develop ETL workflows for security data, threat intelligence, and incident response
Integrate and enrich external threat intelligence feeds
Work with cybersecurity teams to build data-driven solutions
Design and optimize cloud-based data models
Implement data validation, quality checks, and anomaly detection
Monitor and troubleshoot data pipelines in real time
Ensure data security, integrity, and compliance
Required Skills
5+ years
of Data Engineering experience
Strong hands-on
Python
development
Experience with
ETL and data pipelines
Robust knowledge of
Pandas, PySpark, Requests, SQLAlchemy, and SQL
Experience with
AWS, Azure, or GCP
Strong understanding of data modeling, validation, and governance
Familiarity with
STIX/TAXII, Syslog, NetFlow , or similar cybersecurity data formats
Good to Have
Apache Airflow, Kafka, or Spark
SIEM platforms such as
Splunk or Microsoft Sentinel
Understanding of cyber threat TTPs / eCrime
AWS, GCP, or GIAC certifications