Data Engineer
keka
Job Description
- Build and scale reliable data pipelines across batch and real-time systems
- Design and maintain data lakes and warehouses on AWS/GCP for high performance and availability
- Develop scalable ETL/ELT workflows across diverse data sources and formats
- Optimize data architecture for performance, cost, and reliability
- Implement real-time data processing within a microservices ecosystem
- Create reusable data assets and tools for analytics and data science teams
- Design efficient data models aligned with product and business needs
- Drive automation and continuously improve data workflows and infrastructure
- Partner with Product, Business, and Data teams to solve high-impact problems
- Establish and enforce best practices across data engineering, including CI/CD, testing, and monitoring
- Define and maintain data taxonomy, metadata, and documentation standards
- Evaluate and adopt new technologies to strengthen our data stack