We 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.

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.

EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.