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Careers at LogicMonitor
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Senior Data Engineer

30 Nov 2024

About the job

**Business Technology, Pune, India** **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. 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 **What You'll Need:** - 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 Click here to read our International Applicant Privacy Notice. **LogicMonitor is an Equal Opportunity Employer **At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We're committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best. For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don't just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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End-to-end AI hiring for modern HR teams

Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

Key benefits:

  • AI-powered job creation and structured job data
  • Intelligent candidate screening and automated shortlisting
  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
  • Recruitment process automation and reduced time-to-hire

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