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Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.

Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture, please click here: Kaseya Culture.

Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. We have achieved record levels of success being BOLD, being GRITTY, being ACCOUNTABLE. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers, and the betterment of their careers and long-term financial wealth. 

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.

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.

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