Data Engineer

Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide. 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. 

1. Data Engineer Job Description

Experienced Sr. Data Engineer with expertise in Snowflake, Airflow, AWS, SQL, Python, Data Warehouse, and Data Modelling. The ideal candidate will play a crucial role in designing, implementing, and optimizing data solutions leveraging Snowflake, while also contributing to the broader data engineering ecosystem.

Responsibilities

• Design, develop, and maintain Snowflake-based data solutions.
• Implement and optimize ETL/ELT processes within Snowflake.
• Utilize Apache Airflow to orchestrate and automate complex data workflows.
• Develop and maintain Airflow DAGs (Directed Acyclic Graphs) for efficient task scheduling.
• Leverage AWS services for data-related tasks, ensuring seamless integration with Snowflake.
• Utilize AWS data storage and processing services to enhance overall data architecture.
• Demonstrate proficiency in writing complex SQL queries for data extraction, transformation, and loading.
• Utilize Python for scripting, automation, and enhancing data processing capabilities.
• Contribute to the design, development, and maintenance of the data warehouse.
• Ensure optimal performance and scalability of the data warehouse.
• Design and implement effective data models to support analytical and reporting requirements.
• Ensure data models align with business needs and best practices.
• Collaborate effectively with cross-functional teams to understand data requirements and deliver optimal solutions.
• Document code, processes, and workflows to facilitate knowledge sharing and team collaboration.
• Able to complete assigned tasks possible with minimal guidance.
• Learn to fully test output and defend approach.
• Learn new skills and take courses as needed.
• Develop constructive working relationships within the teams in which they work or work with.
• Develop good understanding of Kaseya's business and learn Kaseya's business terms
  Understand Kaseya values.

Skills

• Proficiency in Snowflake, including hands-on experience in designing and implementing solutions.
• Strong expertise in Apache Airflow for workflow orchestration.
• In-depth knowledge of AWS services related to data storage, processing, and analytics.
• Advanced SQL skills for data manipulation and extraction.
• Proficient in Python programming for data-related scripting and automation.
• Experience with data warehouse management, ensuring optimal performance and scalability.
• Strong understanding of data modelling concepts and best practices.
• Technical problem-solving skills
• Design and implement Data QA modules

Communications/Leadership
●    Good written and verbal communication skills

Education/Technology
Bachelor’s degree or equivalent in Computer Sciences, Data Analytics, Management Information Systems, or related quantitative field in Data Engineering

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.