Data Pipeline Engineer
A company is looking for a Security Data Engineer to build and optimize data ingestion pipelines for security analytics.
Key Responsibilities
Design and build scalable batch and streaming data pipelines for ingesting telemetry, log, and event data
Develop and maintain orchestration workflows using tools like Apache Airflow
Onboard new data sources and normalize security-related datasets while managing schema drift
Required Qualifications
8+ years of experience in data engineering or infrastructure roles focused on pipeline development
Strong experience with Python and distributed data processing tools like Apache Spark
Hands-on experience with orchestration frameworks like Apache Airflow
Deep understanding of ingestion best practices and schema evolution
Experience working with cloud environments (AWS, Azure, or GCP)
A company is looking for a Security Data Engineer to build and optimize data ingestion pipelines for security analytics.
Key Responsibilities
Design and build scalable batch and streaming data pipelines for ingesting telemetry, log, and event data
Develop and maintain orchestration workflows using tools like Apache Airflow
Onboard new data sources and normalize security-related datasets while managing schema drift
Required Qualifications
8+ years of experience in data engineering or infrastructure roles focused on pipeline development
Strong experience with Python and distributed data processing tools like Apache Spark
Hands-on experience with orchestration frameworks like Apache Airflow
Deep understanding of ingestion best practices and schema evolution
Experience working with cloud environments (AWS, Azure, or GCP)