Sr Security Data Engineer

Job highlights

• Preferred / Nice to Have
• Must be able to exercise appropriate judgment as necessary
• Excellent written and oral communication skills required
• Experience: 5-10 Years. Reports to: Shivendra Ashish
• Experience with Vector Databases for storing embeddings.

Job Title: Senior Security Data Engineer

Classification: Exempt

Approved by: Jitendra Patil

Experience: 5-10 Years

Reports to: Shivendra Ashish

Core Responsibilities

• Pipeline Management: Maintain high-throughput streaming pipelines to ingest logs from various sources (Firewalls, Cloud, Endpoints) to a central destination.
• Log Normalization: Write parsers to convert raw, messy logs into standard schemas (e.g., OCSF or ECS) for consistent querying.
• Cost Optimization: Implement routing logic to send high-value data to the SIEM and bulk data to low-cost Object Storage (Data Lake).
• Data Preparation: Clean and structure data to enable AI/ML detection models and advanced analytics.

Must-Have Skills

• Data Engineering: Proficiency in Python (for ETL) and SQL (for complex querying).
• Streaming Tech: Experience with Message Queues (e.g., Kafka, Pub/Sub) and stream processing concepts.
• Log Handling: Mastery of Regex and log parsing strategies for standard formats (Syslog, CEF, JSON).
• Storage Architecture: Understanding of Data Lake principles (Parquet/Avro formats) vs. Data Warehouses.

Preferred / Nice to Have

• Experience with Vector Databases for storing embeddings.
• Knowledge of Log Observability/Routing tools (middleware that routes logs).
• Familiarity with Big Data frameworks (e.g., Spark, Flink).

Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires the ability to use a personal computer for extended periods of time.

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