About Us:
LogicMonitor is the leading fully automated, cloud-based infrastructure monitoring and observability platform for enterprise IT and managed service providers.
We love going to work and think you should too. We are customer obsessed, work as one agile team, and strive to be better every day while building trust. These are our core values. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.
This position is located in Pune. You'll be working in a major tech center of Pune, India. We call our offices Centers of Energy, because they’re where we accelerate work, spark creativity, and ignite our culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.
LogicMonitor is an equal opportunity employer. We deeply care about our employees' well-being, creating an environment where everyone feels valued and respected. We celebrate the diversity of our team and are committed to fostering a culture of inclusivity. When you join LogicMonitor, you're not just an employee to us, but a valued member of our community. Come as you are, be yourself, and let's grow together.
To learn more about life at LogicMonitor, check out our Careers Page.
What You'll Do:
The Business Intelligence and Data team isn't just crunching numbers – we're transforming raw data into actionable insights that drive strategic decisions across every department, worldwide. Join us and become a data superhero, empowering teams to achieve incredible things!
We're looking for a talented and passionate Senior Data Engineer to join our growing team! In this role, you'll be responsible for designing, developing, and maintaining data solutions to support our broad profile of enthusiastic data consumers. You'll work closely with stakeholders across different departments to understand their data needs and develop technical data solutions such as new data pipelines, models, and transformations.
Here's a closer look at this key role:
- Build and maintain data pipelines for processing data and empowering analytics at scale
- Optimize pipelines, dashboards, frameworks, and systems to facilitate development of data products
- Transform raw data into cleaned, organized and actionable formats
- Solve data transformation and integration issues
- Drive design, management, and optimization of our data compute and storage infrastructure
- Lead the analysis and resolution of data security tasks
- Create and maintain data architecture artifacts
- 4+ years experience in a Data Engineering role, with a focus on building data pipelines and models.
- Expert proficiency in SQL, Python
- 2+ years experience with Airflow, Snowflake, dbt cloud
Nice to have:
- Domain analytical experience with Financial, Customer Success, or Human Resources data
- Machine learning project implementation
- Experience using FiveTran, Looker, PowerBI
Top Skills
What the Team is Saying
What We Do
LogicMonitor® offers hybrid observability powered by AI. The company’s SaaS-based platform, LM Envision, enables observability across on-prem and multi-cloud environments. We provide IT and business teams operational visibility and predictability across their technologies and applications to focus less on troubleshooting and more on delivering extraordinary employee and customer experiences. For more information, visit www.logicmonitor.com.
Why Work With Us
We love going to work and think you should too. We are customer-obsessed, work as one agile team, and strive to be better every day while building trust. These are our core values. So it's no surprise that we work hard and genuinely have fun working with each other as we expand our global presence and achieve record-breaking success.
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LogicMonitor Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We call our offices Centers of Energy, because they’re where we accelerate work, spark creativity, and ignite our culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.
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