Data Engineer - Cybersecurity Analytics - Onsite

Req : 386062

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking a Data Engineer
- Cybersecurity Analytics
- Onsite to join our team in Charlotte, North Carolina (US-NC), United States (US).

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. This role will work closely with cybersecurity, Dev Ops, QA, and application teams to build secure, reliable, and high-performing data pipelines and platforms.

• Design, develop, maintain, and optimize AWS Glue ETL pipelines for ingesting and transforming cybersecurity data from multiple sources.
• Design and implement scalable Data Lake and Data Warehouse solutions using AWS S3, Snowflake, and other cloud-native technologies.
• Develop and maintain Infrastructure-as-Code (IaC) using Terraform to automate cloud infrastructure provisioning and environment deployments.
• Build and optimize Snowflake data models, stored procedures, and SQL queries to support analytics, reporting, and large-scale data processing.
• Develop and maintain RESTful API integrations for secure data ingestion and communication between applications and backend data platforms.
• Implement Apache Kafka solutions for real-time streaming, event-driven data ingestion, and ETL workflows.
• Develop, maintain, and troubleshoot SSIS packages supporting batch processing, data integration, and migration activities.
• Monitor production data pipelines, troubleshoot failures, resolve performance issues, and support application and release deployments.
• Apply data security and governance practices, including encryption, IAM, RBAC, access controls, and compliance requirements.
• Collaborate with cybersecurity, Dev Ops, QA, application development, and other cross-functional teams to deliver secure, scalable, and reliable data solutions.
• Participate in architecture and design reviews, code reviews, security assessments, and technical discussions to improve engineering standards and operational efficiency.
• Contribute to Agile/Scrum ceremonies, including sprint planning, backlog refinement, daily stand-ups, and retrospectives.

• 5+ years of experience in cloud-based Data Engineering and Big Data processing environments.
• 3+ years of hands‑on 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, with experience in AWS S3, Snowflake, or similar technologies.
• 3+ years of hands‑on 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, including JSON, OAuth, API keys, and related authentication mechanisms.
• 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.
• Experience troubleshooting and supporting production data pipelines, including both batch and real‑time processing environments.
• Experience working in Agile/Scrum environments and collaborating effectively with cross‑functional technical teams.

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
, or equivalent professional experience.

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