Job Summary

Role: Senior Data Engineer (Data)

Location: Bangalore

Standardized Job Title: Senior Engineer, Strategic Data Solutions

About this role

We are looking for an experienced Senior Data Engineer to design, develop, and support scalable data platforms and pipelines. The ideal candidate will have extensive experience with contemporary 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 directly to the Head of 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 Senior Data Engineer at Circles operates at the intersection of Data Engineering, Cloud Infrastructure, and Platform Engineering. You will be part of the team responsible for designing, 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:

- Design, 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.
- Design 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.
- Mentor junior engineers, promote engineering best practices, and contribute to architecture reviews, 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

- 6+ years of experience in Data Engineering, Big Data, or Data Platform development, with a strong track record of delivering enterprise-scale data solutions.
- Strong experience designing and building scalable ETL/ELT pipelines using Python, Spark/PySpark, and SQL.

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.

📌 Senior Data Engineer (Haryana)
🏢 Circles
📍 Haryana