Principal – Security Engineering

Jobtailor; Chennai District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Jobtailor is seeking a senior data analytics architect to lead the design and optimization of large-scale security data repositories on Google Cloud Platform. The role involves building robust data pipelines with Dataflow, delivering scalable data products, and leading analytics engineers to production-grade automation solutions.

You will leverage Python for analytics, write optimized SQL, and implement LookML semantic layers, aligning with enterprise security data analysis and reporting

Qualifications

• Bachelor's degree in CS/IS or 6+ years analytics experience.
• 8+ years of professional data analytics experience.
• Experience architecting solutions on Google Cloud Platform.
• Hands-on SQL, Python, and data pipelines.

Responsibilities

• Architect and optimize large-scale security data repositories using Google BigQuery.
• Design and implement robust, low-latency data pipelines with GCP Dataflow.
• Lead analytics engineers to deploy production-grade automation solutions.
• Utilize Cloud Run and Cloud Functions to build scalable microservices.
• Develop a standardized semantic layer using LookML.

Skills

Google BigQuery Architecture

GCP Dataflow Services

Advanced SQL Query Writing

Python Coding

Data Pipeline Development

Data Analytics

SQL Query Optimization

Automation

Leadership

Collaboration

LookML

Education

Bachelor Degree in Computer Science

Bachelor Degree in Information Systems

Tools

Google Cloud Platform

GCP Cloud Run

GCP Cloud Functions

Google BigQuery

Dataflow

LookML

Job description

• Architecting and optimizing large-scale security data repositories within Google BigQuery
• Designing and implementing robust, low-latency data pipelines using GCP Dataflow services
• Leading analytics engineers technically to architect and deploy production-grade automation solutions
• Utilizing GCP Cloud Run and Cloud Functions to build scalable microservices
• Driving the transition from standard visualization to a scalable data product model
• Developing and maintaining a standardized semantic layer using LookML
• Building comprehensive business cases and data models surrounding Enterprise Security Data Analysis and Reporting

Requirements

• Proven experience architecting and developing solutions within Google Cloud Platform
• Deep technical mastery of Google BigQuery architecture
• Hands‑on experience building streaming and batch data processing pipelines using GCP Dataflow services
• Advanced proficiency in writing complex, optimized SQL queries
• Strong hands‑on coding expertise in Python to perform advanced data analysis
• Experience utilizing visualization platforms
• Bachelor degree in Computer Science/Information Systems or six or more years of work experience
• Eight or more years of professional experience in data analytics

Core Competencies

Demonstrates expertise in architecting and optimizing large-scale security data repositories using Google BigQuery and GCP services. Proficient in developing robust data pipelines and advanced data analysis with a strong foundation in SQL and Python.

Highest-signal resume keywords

• Google BigQuery Architecture
• GCP Dataflow Services
• Advanced SQL Query Writing
• Python Coding Expertise
• Data Analytics Experience

ATS Optimization Keywords

Hard Skills

• Data Pipeline Development
• Data Analysis
• SQL Query Optimization
• Data Modeling
• Automation Solutions

Soft Skills

• Leadership
• Collaboration

Certifications & Qualifications

• Bachelor Degree in Computer Science
• Bachelor Degree in Information Systems

Industry Keywords

• Enterprise Security Data Analysis
• Data Repositories
• Data Product Model
• Streaming Data Processing
• Batch Data Processing

Tools & Technologies

• Google Cloud Platform
• GCP Cloud Run
• GCP Cloud Functions
• LookML
• Visualization Platforms