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 units 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.
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.
This position is open to all candidates.
