SDE 1 - Data

At Licious, we are building a scalable and reliable data platform that powers critical business decisions, operational intelligence, and next-generation data products.As an SDE I – Data, you will play a key role in designing, building, and optimizing large-scale distributed data systems that process and serve data across the organization. This role is ideal for someone who is passionate about distributed systems, streaming architectures, and platform engineering.What You'll Be Doing:Build Scalable Data Platforms: Design, develop, and maintain large-scale data pipelines and distributed systems that support real-time and batch data processing across the organization.Streaming & Data Processing: Build and optimize data processing solutions using modern streaming and distributed computing frameworks to ensure high throughput, reliability, and scalability.Platform Engineering: Contribute to the development and evolution of the data platform, improving system reliability, operational efficiency, observability, and developer experience.System Design & Architecture: Participate in the design and implementation of scalable data architectures and distributed systems while making informed engineering trade-offs around performance, reliability, and cost.Infrastructure & Cloud Automation: Leverage modern infrastructure and orchestration tools to build, deploy, and operate highly available data services and platform components.Performance & Optimization: Identify bottlenecks and continuously improve data processing efficiency, system performance, platform costs, and resource utilization.Cross-Functional Collaboration: Partner closely with software engineers, platform engineers, product teams, and business stakeholders to understand data requirements and deliver scalable solutions.Operational Excellence: Participate in monitoring, troubleshooting, root cause analysis, and production support activities to ensure platform stability and reliability.What You'll Bring to the TeamExperience: 1–3 years of experience in Software Engineering, Data Engineering, Platform Engineering, or related backend engineering roles, with hands-on experience building distributed systems and data infrastructure.Distributed Systems & Data Engineering:Strong experience with:Apache SparkApache KafkaStreaming data architecture.Batch processing system.Distributed computing conceptsProgramming SkillsStrong proficiency in Python (must-have)Experience with modern programming languages such as Golang or Rust is a plusStrong understanding of data structures, algorithms, and software engineering fundamentals.Infrastructure & Platform Engineering: Hands on Experience with deploying, operating, and troubleshooting applications in cloud-native environments.Databases & Data Modeling:Strong SQL skillsExperience working with large-scale datasetsExp working with spark , job optimizations.Understanding of data modeling and data pipeline design principles.System Design & Problem SolvingStrong understanding of low-level system design concepts.Ability to reason about distributed systems, scalability challenges, and architectural trade-offsStrong debugging, troubleshooting, and root cause analysis skillsImpact-Oriented Mindset: Demonstrated ability to deliver measurable business outcomes through engineering initiatives, such as:Platform cost optimizationReliability improvementPerformance enhancementsCollaboration & Ownership :Strong ownership mindset and accountabilityAbility to work independently on complex engineering problemsExcellent communication and stakeholder management skillsPassion for learning new technologies and solving challenging technical problemsGood to Have:Experience with AI-enabled platforms, RAG systems, LLM-based applications, or modern AI infrastructure.Qualification and Experience1-3 years of experience in Software Engineering, Data Engineering, Backend Engineering, or Platform Engineering.Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.Proven experience building and operating distributed systems in a product or technology-driven environment.