Description

You will build and maintain cloud-based data engineering pipelines for cybersecurity analytics.

This role is on-site.

Responsibilities

• Develop and optimize AWS Glue ETL pipelines to process and transform large-scale cybersecurity data.
• Design and manage Data Warehouses and Data Lakes using Snowflake and AWS S3 for secure storage and querying.
• Implement Infrastructure-as-Code deployments using Terraform to automate cloud resources.
• Create and manage RESTful APIs for data ingestion, transformation, and exchange between front-end applications and backend systems.
• Monitor production data jobs, troubleshoot failures, and execute batch processing while ensuring data governance and security compliance.

Required Skills

• 5+ years of experience in cloud-based data engineering and big data processing.
• Hands-on expertise with AWS Glue for ETL development and job orchestration.
• Strong proficiency in Terraform for cloud infrastructure automation.
• Deep knowledge of Snowflake for data modeling, storage, and query performance optimization.
• Experience with Apache Kafka in ETL processes and data streaming.
• Proficiency in SQL, Python, and Spark for data transformations and analysis.
• Experience creating and managing API calls using RESTful APIs, JSON, and authentication mechanisms (OAuth, API keys).
• Ability to create and debug SSIS packages.

Preferred Skills

• Experience with data security best practices, encryption, and access control in cloud environments.
• Participation in code reviews, security audits, and architecture discussions.

Key Skills

Education

Any Gradute