Freelance DevOps Data Engineer (Cybersecurity Analytics)

Company Description ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. We are hiring for our corporate client. ThreatXIntel is the official hiring partner for this requirement. About the role We are looking for an experienced DevOps Data Engineer with strong expertise in AWS, Snowflake, Terraform, and Data Engineering to support enterprise-scale cybersecurity analytics initiatives. If you have experience building secure, scalable cloud data pipelines and enjoy working in modern cloud environments, we'd love to hear from you. Key Responsibilities Develop and optimize AWS Glue ETL pipelines for large-scale data processing. Design and maintain Data Lakes and Data Warehouses using AWS S3 and Snowflake. Automate cloud infrastructure using Terraform (Infrastructure-as-Code). Build and optimize Snowflake data models, SQL queries, and stored procedures. Develop REST APIs for secure data ingestion and integration. Implement real-time data streaming solutions using Apache Kafka. Develop, maintain, and troubleshoot SSIS packages. Monitor production ETL jobs and optimize pipeline performance. Implement cloud security, IAM, RBAC, encryption, and governance best practices. Collaborate with DevOps, Cybersecurity, QA, and Engineering teams in an Agile environment. Required Skills AWS Glue AWS S3 Snowflake Terraform (IaC) Apache Kafka SQL Python Apache Spark REST APIs SSIS Cloud Data Engineering Data Warehouse & Data Lake Cloud Security IAM & RBAC Agile/Scrum Experience Required 5+ years of Data Engineering experience 3+ years of AWS Glue 3+ years of Terraform 4+ years of Snowflake/Data Warehouse Strong Python, SQL, Spark, and Kafka experience If you're interested, apply with your updated resume. Immediate availability is preferred. Company Description ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. We are hiring for our corporate client. ThreatXIntel is the official hiring partner for this requirement. About the role We are looking for an experienced DevOps Data Engineer with strong expertise in AWS, Snowflake, Terraform, and Data Engineering to support enterprise-scale cybersecurity analytics initiatives. If you have experience building secure, scalable cloud data pipelines and enjoy working in modern cloud environments, we'd love to hear from you. Key Responsibilities Develop and optimize AWS Glue ETL pipelines for large-scale data processing. Design and maintain Data Lakes and Data Warehouses using AWS S3 and Snowflake. Automate cloud infrastructure using Terraform (Infrastructure-as-Code). Build and optimize Snowflake data models, SQL queries, and stored procedures. Develop REST APIs for secure data ingestion and integration. Implement real-time data streaming solutions using Apache Kafka. Develop, maintain, and troubleshoot SSIS packages. Monitor production ETL jobs and optimize pipeline performance. Implement cloud security, IAM, RBAC, encryption, and governance best practices. Collaborate with DevOps, Cybersecurity, QA, and Engineering teams in an Agile environment. Required Skills AWS Glue AWS S3 Snowflake Terraform (IaC) Apache Kafka SQL Python Apache Spark REST APIs SSIS Cloud Data Engineering Data Warehouse & Data Lake Cloud Security IAM & RBAC Agile/Scrum Experience Required 5+ years of Data Engineering experience 3+ years of AWS Glue 3+ years of Terraform 4+ years of Snowflake/Data Warehouse Strong Python, SQL, Spark, and Kafka experience If you're interested, apply with your updated resume. Immediate availability is preferred.