Senior Data Engineer

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