USC or GC
Hybrid
Relocators okay
Market pay rate
IMPORTANT INFORMATION: Interviews will be conducted virtually, and there will be two rounds. First round will be with the manager and second with him and his team. Position is a permanent contract that will go perm once a spot opens up.
DescriptionWe are seeking a talented and passionate Cybersecurity Snowflake Secanalytic Data Engineer to join our dynamic team. In this role, you will play a crucial part in ensuring the security and integrity of our data infrastructure while leveraging the power of Snowflake's cloud data warehouse. If you thrive in a fast-paced environment, have a strong background in cybersecurity, and love working with cutting-edge technologies, we'd love to hear from you!
## Responsibilities

• Data Security and Compliance: Collaborate with cross-functional teams to design, implement, and maintain robust data security measures. Ensure compliance with relevant cybersecurity laws, regulations, and frameworks.
• Snowflake Data Engineering: Develop, optimize, and manage large-scale data analytics solutions using the Snowflake Data Warehouse. Leverage your expertise to create efficient data pipelines, ETL processes, and data models.
• Secanalytic Expertise: Serve as the go-to expert on security analytics. Analyze data to identify threats, vulnerabilities, and anomalies. Implement proactive measures to safeguard our systems and data.
• Collaboration: Work closely with business stakeholders, security teams, and data scientists to align data security strategies with organizational goals.
• Performance Optimization: Continuously monitor and enhance data processing performance. Optimize queries, improve data ingestion processes, and fine-tune Snowflake configurations.
• Documentation and Training: Document data engineering processes, best practices, and security protocols. Provide training and guidance to team members.

## Qualifications

• Education: Bachelor's degree in Computer Science, Information Systems, or a related field. Advanced degrees or certifications (e.g., CISSP, CISM, SnowPro) are a plus.
• Experience:
• Minimum of 3 years in data engineering, with a focus on Snowflake.
• Strong background in cybersecurity and data protection.
• Familiarity with secanalytic techniques and tools.
• Technical Skills:
• Proficiency in SQL, Python, or other relevant programming languages.
• Experience with Snowflake Cloud Data Warehouse.
• Knowledge of ETL processes, data modeling, and performance optimization.
• Soft Skills:
• Excellent communication and collaboration abilities.
• Analytical mindset with a passion for problem-solving.
• Adaptability to evolving security landscapes.

Prashant Raghuvanshi
Principal Recruitment Executive655 Mohican Dr. Easton, PA 18040
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