SDE 2 - Data Engineering

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 II – Data Platform** , 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 Team** ***Experience:*** 3–5 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 Spark - Apache Flink - Apache Kafka - Streaming data architectures - Batch processing systems - 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: - Kubernetes - Terraform - Docker - CI/CD pipelines and automation tools such as Jenkins Experience deploying, operating, and troubleshooting applications in cloud-native environments. ***Databases & Data Modeling:*** - Strong SQL skills - Experience working with large-scale datasets - 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 improvements - Performance enhancements - Reduced processing latency - Increased operational efficiency ***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 - Exposure to data platform architecture and platform engineering practices - Experience building developer platforms or internal tooling - Knowledge of observability, monitoring, and distributed tracing systems - Experience mentoring junior engineers or leading small technical initiatives **Qualification and Experience** - 3–5 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. **Why Join Licious?** - ***High Impact*** : Build and scale data systems that power critical business operations and decision-making across the organization. - ***Engineering Challenges:*** Work on large-scale distributed systems, real-time streaming platforms, and cloud-native infrastructure challenges. - ***Ownership:*** Take end-to-end ownership of impactful engineering initiatives and contribute to the evolution of the company's data platform. - ***Future-Focused Technology:*** Be part of a team investing in modern data engineering, platform capabilities, and AI-driven technologies. - ***Culture of Excellence:*** Work alongside high-performing engineers in a collaborative environment that values innovation, learning, and technical excellence.