Job Title

Job Title: Data Engineer I (Data)

Job Location

Job Location - Bangalore (India)

About this role

- We are looking for an experienced Data Engineer to design, develop, and support scalable data platforms and pipelines. The ideal candidate will have extensive experience with up-to-date cloud-based data platforms, distributed data processing, Kubernetes, and data warehousing technologies. The role involves working closely with product teams, analytics, and platform engineers to deliver reliable and scalable data solutions across multiple markets.
- Reporting to a Senior Data Engineering, you will lead the architecture, creation, and support of robust data platforms and pipelines. Your work will focus on delivering cloud-native solutions that synchronize perfectly with our strategic data vision and overarching commercial goals.
- You will assume full end-to-end accountability for data initiatives, spanning from initial solutioning and testing to deployment and ongoing performance tuning. By providing dedicated production support and driving continuous enhancements, you ensure the ecosystem remains dependable and of the highest quality.

What you'll do

The Data Engineer I at Circles operates at the intersection of Data Engineering, Cloud Infrastructure, and Platform Engineering. You will be part of the team responsible for building, and maintaining scalable data platforms that power analytics, reporting, machine learning, and business operations across multiple markets. As a member of our team, your responsibilities include:

- Develop,



and optimize scalable batch and streaming data pipelines using modern data engineering technologies.
- Build and maintain cloud-native data platforms, including data lakes, data warehouses, and real-time data processing systems.
- Take end-to-end ownership of data engineering initiatives, including solution design, development, testing, deployment, performance tuning, monitoring, and production support.
- Collaborate with product, analytics, and engineering teams to understand business requirements and deliver reliable, high-quality data solutions.
- Develop and optimize data models, ETL/ELT pipelines, and data integration frameworks to support business intelligence and operational reporting.
- Experience deploying and managing data applications on Kubernetes, with hands-on experience in implementing CI/CD pipelines using GitLab CI/CD.
- Monitor platform health, troubleshoot production issues, perform root cause analysis, and continuously improve system reliability and performance.
- Align with the engineering best practices, and contribute to technical documentation, and knowledge sharing.

Who you will work with

- Head of Data Engineering
- Data Platform & Engineering Teams
- Product Managers
- Analytics & Business Intelligence Teams
- DevOps & Infrastructure Teams
- External vendors and technology partners

What we are looking for

- 1+ years of experience in Data Engineering, or Big Data

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer I (Gurugram)
🏢 Circles
📍 Gurugram