SDE 1 - Data

Job description

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 Platfo rms: Design, develop, and maintain large-scale data pipelines and distributed systems that support real-time and batch data processing across the organization. • Streaming & Data Processi ng: Build and optimize data processing solutions using modern streaming and distributed computing frameworks to ensure high throughput, reliability, and scalability. • Platform Engineer ing: Contribute to the development and evolution of the data platform, improving system reliability, operational efficiency, observability, and developer experience. • System Design & Architect ure: 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 Automat ion: Leverage modern infrastructure and orchestration tools to build, deploy, and operate highly available data services and platform components. • Performance & Optimizat ion: Identify bottlenecks and continuously improve data processing efficiency, system performance, platform costs, and resource utilization. • Cross-Functional Collaborat ion: Partner closely with software engineers, platform engineers, product teams, and business stakeholders to understand data requirements and deliver scalable solutions. • Operational Excelle nce: Participate in monitoring, troubleshooting, root cause analysis, and production support activities to ensure platform stability and reliability. What You'll Bring to the Team Experien ce: 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 Engineeri ng: Strong experience with: • Apache Spark • Apache Kafka • Streaming data architecture. • Batch processing system. • Distributed computing concepts Programming Skills • Strong proficiency in Python (must-have) • Experience with modern programming languages such as Golang or Rust is a plus • Strong 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 skills • Experience working with large-scale datasets • Exp working with spark , job optimizations. • Understanding of data modeling and data pipeline design principles. System Design & Problem Solving • Strong understanding of low-level system design concepts. • Ability to reason about distributed systems, scalability challenges, and architectural trade-offs • Strong debugging, troubleshooting, and root cause analysis skills Impact-Oriented Mindset: Demonstrated ability to deliver measurable business outcomes through engineering initiatives, such as: • Platform cost optimization • Reliability improvement • Performance enhancements Collaboration & Ownership : • Strong ownership mindset and accountability • Ability to work independently on complex engineering problems • Excellent communication and stakeholder management skills • Passion for learning new technologies and solving challenging technical problems Good to Have: • Experience with AI-enabled platforms, RAG systems, LLM-based applications, or modern AI infrastructure. Qualification and Experience • 1-3 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.