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 Robust hands-on
Python
development Experience with
ETL and data pipelines Strong 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