Data Engineer

The Opportunity

The Data team enables all functions with the power of data and insights, allowing Postman to take high impact data-driven decisions with confidence. The Data Engineering team is responsible for building the performant, reliable, and secure data platform.

We are looking for a passionate Data Engineer to join the Data Engineering Team. In this role, you will be responsible for the development of data pipelines and processes to help reach insights faster. You will contribute to empowering Postmanauts with a self-serve analytics platform by working on scalable solutions like AI agents.

This position is based in Bengaluru.

What You'll Do

• Design and build scalable data pipelines from internal and external sources to serve business needs.

• Continually make enhancements that improve data architecture, making it performant, secure, and easier to maintain (e.g., ETL pipelines in singer-taps, dbt transformations, reverse ETL flows, and BI tools performance).

• Collaborate with analysts and product teams to build agents that can automate workflows and generate insights.

• Actively participates in the code review process, design discussions, and constructively identifies problems and proposes solutions.

• Optimize data platform performance, scalability, reliability, and cost efficiency to support both internal analytics and application-facing workloads.

About you

• 3-5 years of experience in Data Engineering at Postman's scale.

• Advanced SQL and proficient with one or more programming languages (Python (preferred), JavaScript, Golang).

• Familiarity with cloud platforms (such as AWS (preferred), Azure, or Google Cloud) and their data-related services (Redshift, Databricks and ClickHouse).

• Strong knowledge of data lake fundamentals, especially on the performance aspects.

• Excellent problem-solving and analytical skills with the ability to translate business requirements into technical designs and detailed specifications.

• Experience with multiple public cloud infrastructure, managing multi-tenant Kubernetes clusters at scale and debugging Kubernetes issues is a huge plus.

• Hands-on experience with CI/CD automation for building, testing, deploying, and operating large-scale data platforms.