Sr. Security Data Engineer & Developer

Thakral One Pte. Ltd.; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Thakral One Pte. Ltd. seeks a Senior Security Data Engineer & Developer to design and operate high‑volume security data platforms supporting SIEM, SOAR, UEBA, and detection engineering.

You will lead data ingestion, enrichment, and cross‑team collaboration to deliver scalable solutions. You will architect pipelines with Cribl and Snowflake, define data standards, and mentor others while evaluating new features and vendor partnerships.

Qualifications

• Bachelor's degree in Cybersecurity, Computer Science or Information Technology.
• 4+ years of experience with ETL tools such as Cribl, Kafka, or Kinesis.
• 2+ years of database engineering focused on security data and analytics.
• 1+ years of experience with reporting tools such as Power BI.
• Experience with large-scale datasets (batch and streaming).
• Experience analysing raw data and performing data normalisation.
• Relevant industry certifications or equivalent work experience.

Responsibilities

• Architect, build, and maintain security data pipelines using Cribl and Snowflake.
• Lead ingestion, normalisation, enrichment, and correlation of logs, events, and metrics.
• Define and enforce data standards, schemas, and normalisation frameworks.
• Produce engineering, integration, and process documentation.
• Partner with Security Operations, Threat Detection, GRC, and engineering teams.
• Serve as a technical authority and mentor for data engineering and analytics.
• Manage vendor relationships to drive roadmap and implementation.
• Conduct POCs of new features to develop innovative solutions.
• Drive continuous improvement in data reliability, performance, and cost efficiency.
• Manage data governance with reporting and quality checks.

Skills

ETL/ELT pipelines

Data ingestion

Data normalization

Data governance

Cross-functional collaboration

Education

Bachelor's degree in Cybersecurity, Computer Science, Information Technology

Tools

Cribl

Kafka

Kinesis

Power BI

Tableau

Job description

About the job Sr. Security Data Engineer & Developer

As a Senior Security Data Engineer & Developer, you will architect, build, and maintain high‑volume, high‑fidelity security data management platforms to support SIEM, SOAR, UEBA, and detection engineering use cases. You will lead data ingestion, enrichment, and correlation of raw security telemetry, define and enforce data standards, and partner with security and engineering teams to deliver scalable solutions.

What You'll Do and How You'll Succeed

• Architect, build, and maintain security data pipelines using Cribl (ETL) and Snowflake (Data Lakehouse).
• Lead ingestion, normalisation, enrichment, and correlation of logs, events, metrics, alerts, configuration, scanning, and other telemetry.
• Define and enforce data standards, schemas, and normalisation frameworks (OCSF, SCIM, CVE, CVSS).
• Produce engineering, integration, and process documentation.
• Partner with Security Operations, Threat Detection, GRC, and engineering teams to translate requirements into scalable data solutions.
• Serve as a technical authority and mentor, influencing data engineering, security analytics, and platform strategy.
• Manage vendor relationships to drive roadmap, solution design, implementation, and troubleshooting.
• Conduct POCs of new features to develop innovative solutions.

Governance & Optimisation

• Drive continuous improvement in data reliability, performance, and cost efficiency.
• Manage data governance with reporting and quality checks.
• Research and adopt industry best practices and standards.
• Identify opportunities to enhance baseline processes and configurations.

We'd Love to Hear From You If...

Experience

• You have a Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field.
• You have 4+ years of experience with ETL tools such as Cribl, Kafka, or Kinesis.
• You have 2+ years of database engineering experience focused on security data and analytics.
• You have 1+ years of experience with reporting tools such as Power BI.
• You have experience working with large‑scale datasets (batch and streaming).
• You have experience analysing raw data and performing data normalisation.
• You have relevant industry certifications or equivalent work experience.

Technical Expertise

• You have solid knowledge of ETL/ELT pipelines, data ingestion, validation, quality checks, and error handling.
• You have familiarity with SIEM products such as Splunk, Elastic, Datadog, AWS CloudTrail, CloudWatch, and Azure Event Hub.
• You have working knowledge of AI/ML technologies (Anthropic, ChatGPT, Gemini, Copilot).
• You have experience with BI tools such as Power BI or Tableau.
• You have familiarity with data standards such as OCSF and SCIM.
• You have experience with at least one major cloud provider (AWS, Azure, or GCP).

Ways of Working

• You collaborate effectively with cross‑functional security and engineering teams.
• You communicate clearly and document thoroughly.
• You lead with a focus on scalability, governance, and performance.
• You balance delivery timelines with technical excellence.