Lead Data Engineer

Onsite in Atlanta, Georgia.

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team at Kaseya. The ideal candidate will have extensive experience with Snowflake, ETL tools, and offshore coordination. As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring data is accessible, reliable, and valuable to our business operations.

• Design, develop, and implement data pipelines and ETL processes using industry-standard tools and best practices.
• Utilize Snowflake for data warehousing, ensuring optimal performance, scalability, and reliability.
• Leverage Azure cloud services for data storage, processing, and integration, ensuring efficient and secure data handling.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Coordinate with offshore teams to ensure seamless integration and alignment of data engineering activities.
• Monitor and troubleshoot data pipeline issues, ensuring data integrity and availability.
• Implement data governance and best practices for data management and security.
• Optimize and maintain existing data infrastructure, ensuring efficient data processing and storage.
• Provide technical leadership and mentorship to junior data engineers and team members.
• Stay up-to-date with emerging technologies and industry trends, recommending and implementing improvements.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field;
• 5+ years of experience in data engineering or a related field.
• Proficiency in Snowflake, including data modeling, performance tuning, and query optimization.
• Strong experience with ETL tools (e.g.,Matillion, Informatica, Talend, Apache NiFi) and data integration techniques.
• Proven experience with Azure cloud services, including Azure Data Factory, Azure SQL Database, and Azure Blob Storage.
• Proven experience in coordinating and collaborating with offshore teams.
• Proficient in SQL and other programming languages (e.g., Python, Java, Scala).
• Solid understanding of data warehousing concepts and best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.
• Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines).
• Familiarity with machine learning concepts and tools.