Senior Data Platform Engineer
- Compensation
- Not disclosed
- Location
- Bangalore, Karnataka, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 6+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field
Nice to have
- Experience with cloud platforms such as AWS, Azure, or GCP
- Knowledge of Kubernetes, Docker, Infrastructure as Code, and cloud-native architectures
Full description
**Job Title: Senior
Data Platform EngineerAbout the Role**We
are looking for a highly skilled Data Platform Engineer to join our Data
Platform Team and build the core infrastructure that powers data-driven
decision-making across KreditBee. In this role, you will design and develop
large-scale backend services and distributed data systems that process billions
of events and transactions with high reliability, scalability, and performance.
You will work closely with engineering, data science, and product teams to
build a modern, self-serve data platform that enables analytics and machine
learning at scale.
**What You'll DoPlatform
Architecture & Engineering**
- Design, build,
and scale distributed data platforms, backend services, and data infrastructure
that are highly available, secure, and cost-efficient
- Architect
scalable systems with a focus on performance, reliability, fault tolerance, and
observability
- Drive
platform-first initiatives and build reusable frameworks that accelerate
engineering productivity
**Data
Infrastructure & Scalability**
- Develop and
optimize large-scale data processing systems for batch and real-time workloads
- Build and
maintain modern data lake and warehouse architectures
- Ensure high data
availability, quality, and low-latency access for analytics and business
applications
**Technical
Leadership**
- Lead end-to-end
technical initiatives from design through production deployment
- Mentor engineers
and promote engineering best practices across architecture, code quality, and
operational excellence
- Drive technical
discussions, design reviews, and architectural decision-making
**Cross-Functional
Collaboration**
- Partner with
Product, Infrastructure, Data Science, and Analytics teams to deliver scalable
platform solutions
- Align technical
strategy with business objectives and future growth requirements