Sr. Security Data Engineer & Developer-AVP

Job Description :

Job Title:Sr. Security Data Engineer & Developer-AVP

Experience 10-13 Years

Qualification BE / B. Tech / M. Tech - Computer Engineering

Role & Responsibilities:

Key responsibilities include:

• Hands-on experience in developing integrations using Python, JavaScript (Node.js), SQL, and other programming languages, leveraging AI-assisted coding tools to accelerate development and improve efficiency.
• Experience in building AI agents and workflow automation to streamline research activities, automate repetitive tasks, and improve operational productivity.
• Architect, develop, and maintain high-volume, high-fidelity security data management solutions using Cribl (ETL) and Snowflake (Data Lakehouse) platforms to support SIEM, SOAR, UEBA, and threat detection engineering.
• Lead end-to-end security data ingestion, normalization, enrichment, and correlation across logs, events, metrics, alerts, configuration, and vulnerability data using Cribl and Snowflake, leveraging AI-assisted development.
• Define and enforce data standards, schemas, and normalization frameworks, including OCSF for security logs and vulnerability data, SCIM for IAM data, and CVE/CVSS standards for vulnerability management, integrating CMDB asset information.
• Collaborate with Security Operations, Threat Detection, GRC, and Engineering teams to translate security requirements into scalable data solutions while providing technical leadership, mentorship, and strategic guidance.
• Drive data governance, quality assurance, performance optimization, and cost efficiency through reporting, data quality checks, continuous improvement, and adherence to industry best practices and standards.
• Lead technical POCs, platform enhancements, vendor management, and solution implementation, including roadmap planning, troubleshooting, baseline configuration improvements, and preparation of engineering, integration, and process documentation.

Qualifications

• 10+ years of hands-on development experience in Python, JavaScript (Node.js), SQL, and other programming languages, leveraging AI-assisted coding practices.
• 1+ years of experience in developing AI agents and workflow automation using AI tools and platforms such as Anthropic Claude, ChatGPT, and GitHub Copilot.
• 4+ years of experience working with ETL/ELT and data engineering tools such as Cribl, Apache Kafka, AWS Kinesis, and Apache Airflow, building scalable batch and streaming data pipelines.
• 2+ years of experience in database engineering and security data analytics, working with large-scale security datasets, including logs, events, vulnerability scans, configuration, and asset data.
• Strong understanding of data ingestion, transformation, normalization, validation, data quality checks, and error handling, ensuring reliable and high-quality data pipelines.
• Experience with SIEM and security monitoring platforms such as Splunk, Elastic, Datadog, AWS CloudTrail, Amazon CloudWatch, and Azure Event Hubs.
• Working knowledge of AI, Machine Learning, and Business Intelligence technologies, including Power BI and Tableau, with the ability to analyze raw data and transform it into meaningful insights and reports.
• Familiarity with security data standards such as OCSF and SCIM, along with hands-on exposure to major cloud platforms, including AWS, Microsoft Azure, and Google Cloud Platform (GCP).