Lead Data Engineer

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team at Kaseya. As the leading provider of complete IT infrastructure and security management solutions powered by AI, Kaseya enables organizations to efficiently manage and secure IT for sustained business success. Founded in 2000, Kaseya currently serves customers in over 20 countries and manages over 15 million endpoints worldwide.

The ideal candidate will have extensive experience with Snowflake, ETL tools, and offshore coordination, playing a critical role in designing, developing, and maintaining our data infrastructure. This ensures data is accessible, reliable, and valuable to our business operations.

Key Responsibilities:

• 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 for 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 to ensure 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.
• Experience with Azure cloud services (e.g., Azure Data Factory, Azure SQL Database, 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 for effective teamwork.
• Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines).
• Familiarity with machine learning concepts and tools.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Additional Information:

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.