As a Senior Data Engineer at Appnovation, you will manage the "discovery-to-scale" pipeline, designing and building data integration, storage systems, and infrastructure that enable analytics and AI capabilities.
Requirements
- Bachelor's degree in Computer Science or Engineering
- 8–12 years of relevant experience leading and delivering complex data engineering projects
- Proven expertise in designing, building, and maintaining robust, scalable data pipelines (ETL/ELT)
- Deep expertise in deploying and managing data infrastructure on cloud platforms (AWS, Azure, or GCP)
- Strong skills in conceptual, logical, and physical data modeling
- Mastery of incorporating AI tools to optimize data engineering workflows
- Capability to rapidly prototype and build complete, end-to-end data applications across diverse technology stacks
- Direct experience defining and monitoring service level objectives (SLOs/SLIs)
- Ability to make sound architectural trade-offs, design scalable system components, and produce high-quality, well-tested code
Benefits
- Challenging and rewarding work with real impact
- Direct Access to Cutting-Edge AI Platforms
- Diverse and Inclusive Culture
- Growth opportunities for personal and professional development
- A collaborative and innovative work environment where your ideas are valued
- Exposure to exciting projects and high-profile clients
- Supportive work environment with access to company leaders
- Hybrid working model