Data Engineer

Description

CodeValue is looking for a skilled data engineer to join a cutting-edge project supporting a military technology unit. This role offers a unique opportunity to work on innovative cloud-based data infrastructure within a secure and challenging environment.

Responsibilities:

• Data Infrastructure Development: Design, build, and manage advanced data infrastructure in Google Cloud Platform (GCP) to support the operational and analytical needs of the unit’s clients.
• Data Pipeline Engineering: Develop robust and scalable data pipelines in GCP, perform integrations with diverse data sources, and enable AI/ML workflows using tools such as Dataflow, Pub/Sub, and BigQuery.
• ETL & DWH Automation: Improve, optimize, and automate ETL processes and data warehouse operations in the cloud.
• Cross-Organizational Tech Support: Participate in high-impact, cross-organizational technology projects in a dynamic and innovative technical environment.

Requirements

• At least 2 years of experience as a Data Engineer.
• Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure) and the ability to implement solutions across diverse environments.
• Experience with CI/CD tools such as Jenkins, GitLab CI/CD, Azure DevOps, Cloud Build, or GitHub Actions.
• Strong knowledge of SQL, including writing complex queries and performance optimization.
• Proficiency in Python, including experience with data processing libraries such as Pandas.
• Hands-on experience in building ETL processes and integrating various data sources.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform.
• Experience in designing and implementing Data Warehouse infrastructure.
• Ability to understand and implement data workflows on cloud platforms.