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**Job Title:** Data Engineer
**Company:** Partner One
**Job Type:** Full-time
**Location:** Remote
Job SummaryWe are seeking a highly skilled Data Engineer to join our Threat Research team at Partner One. The ideal candidate will have a strong background in data engineering, experience with data validation techniques, and proficiency in building scalable and efficient data pipelines.
Key Responsibilities- Data Pipeline Design and Development: Design, develop, and maintain data pipelines for ingesting threat intelligence data from various sources into our data ecosystem.
- Data Validation and Quality Assurance: Implement data validation processes to ensure data accuracy, completeness, and consistency.
- Collaboration with Threat Analysts: Collaborate with threat analysts to understand data requirements and design appropriate solutions.
- Automation and Scripting: Develop automation scripts and workflows for data export processes to external systems or partners.
- Optimization and Enhancement: Optimize and enhance existing data pipelines for improved performance and scalability.
- Monitoring and Troubleshooting: Monitor data pipelines and troubleshoot issues as they arise, ensuring continuous data availability and integrity.
- Documentation and Knowledge Sharing: Document technical specifications, data flows, and procedures for data pipeline maintenance and support.
- Staying Up-to-Date: Stay updated on emerging technologies and best practices in data engineering and incorporate them into our data ecosystem.
- Technical Guidance and Support: Provide technical guidance and support to other team members on data engineering best practices and methodologies.
- Education: Bachelor's degree in Computer Science, Engineering, or related field.
- Experience: Proven experience as a Data Engineer or similar role, with a focus on data ingest, validation, and export automation.
- Technical Skills: Strong proficiency in Python, experience with data pipeline orchestration tools such as Apache Airflow, Apache NiFi, or similar, solid understanding of database systems (relational and NoSQL), data modeling, and SQL.
- Cloud Platforms: Familiarity with cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform. Experience with Snowflake is preferred.
- Data Validation Techniques: Experience with data validation techniques and tools for ensuring data quality.
- Containerization: Experience building and deploying images using containerization technologies such as Docker and Kubernetes.
- Apache Avro or JSON Schema Validation: Strong understanding of Apache Avro or JSON schema validation.
- Problem-Solving and Communication Skills: Excellent problem-solving skills and attention to detail, strong communication and collaboration skills, with the ability to work effectively in a team environment.
