Data Engineer - Cybersecurity Analytics

NTT DATA
Charlotte, NC
Category Data Analyst
Job Description
Role Overview

We are seeking an experienced Data Engineer – Cybersecurity Analytics to design, develop, and support scalable cloud-based data solutions that enable cybersecurity analytics, reporting, and operational intelligence. The ideal candidate will have strong hands-on experience with AWS Glue, Snowflake, AWS S3, Terraform, Python, SQL, Spark, and Kafka, along with a solid understanding of data security, governance, and enterprise data engineering practices.

What You Will Do

Design, develop, and maintain AWS Glue ETL pipelines, design and implement scalable Data Lake and Data Warehouse solutions, develop and maintain Infrastructure-as-Code using Terraform, build and optimize Snowflake data models, and develop and maintain RESTful API integrations.

Why It Might Be a Fit

The ideal candidate will have strong hands-on experience with AWS Glue, Snowflake, AWS S3, Terraform, Python, SQL, Spark, and Kafka, along with a solid understanding of data security, governance, and enterprise data engineering practices.

Requirements

  • 5+ years of experience in cloud-based Data Engineering and Big Data processing environments
  • 3+ years of experience developing, orchestrating, and monitoring AWS Glue ETL pipelines
  • 3+ years of experience using Terraform for Infrastructure-as-Code and cloud environment automation
  • 4+ years of experience designing and supporting Data Warehouses and Data Lakes
  • 3+ years of experience with Snowflake, including data modeling, query optimization, and performance tuning
  • 2+ years of experience with Apache Kafka for real-time streaming, event-driven architectures, and data integration
  • 3+ years of experience with SQL, Python, and Spark for large-scale data transformation and analytics
  • 2+ years of experience developing and consuming RESTful APIs
  • 2+ years of experience developing, maintaining, and debugging SSIS packages
  • Strong understanding of cloud security, encryption, IAM, RBAC, data governance, and secure data management practices

Benefits

  • medical, dental, and vision insurance with an employer contribution
  • flexible spending or health savings account
  • life and AD&D insurance
  • short- and long-term disability coverage
  • paid time off
  • employee assistance
  • participation in a 401k program with company match
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