Data Engineer II
G2
| Company | G2 |
| Category | Engineering |
| Location | Bengaluru |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 28 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
About G2 - The Company
G2 is the world's largest and most trusted software marketplace. When you join G2, you’re joining the industry’s leading team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users.
Now, we have joined forces with Capterra https://www.capterra.com/, SoftwareAdvice https://www.softwareadvice.com/, and GetApp https://www.getapp.com/ to create the largest source of online data and software insights to fuel intelligent buying in the age of AI. With 200M+ combined annual visitors and 6M verified reviews, we are now the centralized place to enable software buyers to make better and faster decisions with confidence.
And we are just getting started! We are setting out to transform the global B2B software industry and become the most trusted data foundation for buyers and sellers of software for the age of AI.
Does that sound exciting to you? Come join us as we try to reach our next PEAK!
About G2 - Our People
At G2, everything we are and what we do is grounded in our PEAK values— (Performance + Entrepreneurship + Authenticity + Kindness. Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other’s successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and learn.
You will be part of a global, diverse team of smart, dedicated, and kind individuals - each with unique talents, aspirations, and life experiences. At the heart of our community and culture are our people-led ERGs, which celebrate and highlight the diverse identities of our global team. As an organization, we are intentional about our DEI https://company.g2.com/dei and philanthropic work (like our G2 Gives https://company.g2.com/gives program) because it encourages us all to be better people.
ABOUT THE ROLE
G2 is looking for a Data Engineer - II, who will lead the design, development and maintenance of complex data engineering projects and pipelines for the G2 data platform. You'll lead and contribute significantly to complex data engineering projects and the implementation of complex ETL and ELT processes within an AWS and Snowflake ecosystem, demonstrating expertise in scalable and efficient data processing.
IN THIS ROLE, YOU WILL:
Data infrastructure and processing:
- Lead the design and development of data pipelines for seamless integration of data from various sources into the G2 Data Platform.
- Optimize data pipelines, ensuring cost effectiveness, scalability, and reliability.
- Constantly innovate to make the data stack follow the latest trends.
- Service data requests from various users of the G2 data platform.
- Actively contribute to data modeling and design reviews, striving for improved adoption and efficiency.
- Execute the project tasks aligned with project timelines and objectives under the guidance of senior team members.
- Develop repeatable and scalable code that processes data to ensure data availability in the platform is as real-time as possible.
- Actively contribute to the development and advancement of the data platform.
- Promote architectural changes that increase the scalability of our data infrastructure while maintaining efficiency in all phases of the development lifecycle.
Data quality assurance and governance :
- Learn and adopt best practices in data engineering to contribute to robust solutions.
- Own the implementation of data quality and data governance initiatives and drive them to completion.
- Recommend and ensure the data platform follows privacy and security standards and requirements.
- Document data architecture, data model, and workflows for how it should be consumed.
Mentorship and Collaboration :
- Guide junior engineers by providing
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