Kaseya

Sr. Data Engineer

Bengaluru, India
Python Azure AWS
Description

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. 

Sr. Data Engineer

Experienced Data Engineer willing to build/test and develop data pipelines and other data artifacts.

Responsibilities
●     Design, develop, and maintain Snowflake-based data solutions.
●     Implement and optimize ETL/ELT processes within Snowflake.
●     Utilize Apache Airflow/ADF to orchestrate and automate complex data workflows.
●     Leverage Azure/AWS services for data-related tasks, ensuring seamless integration with Snowflake.
●     Utilize Azure/AWS data storage and processing services to enhance overall data architecture.
●     Demonstrate proficiency in writing complex T-SQL queries for data extraction, transformation, and loading.
●     Utilize Python for scripting, automation, and enhancing data processing capabilities, hands-on Azure
●     Function App will be an added advantage.
●     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 comprehend data needs and deliver optimal solutions.
●     Document code, processes, and workflows to facilitate knowledge sharing and team collaboration.
●     Demonstrate ability to complete assigned tasks with minimal guidance.
●     Learn to thoroughly test output and justify approach.
●     Pursue learning opportunities and courses as necessary.


Skills
●     Snowflake
●     Apache Airflow/Azure Data Factory
●     AWS services related to data storage, processing, and analytics.
●     CI/CD using Azure DevOps will be an added advantage

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

Years of Experience: 4+

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.

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

50,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 241 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

Cancel anytime / Money-back guarantee

Wall of love from fellow engineers