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Senior Security Data Engineer

Location

Pune, Maharashtra, India

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Clearwater

Website: clearwatersecurity.com
Job details:
Description

EXPERIENCE: 5–10 Years

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).
Click on Apply to know more.

Skills

Python
SIEM
advanced analytics
data lake
ECS
ETL
Flink
JSON
Kafka
middleware
Parquet
Spark
SQL