Software Engineer II - Data

Wati is the world's leading WhatsApp-first conversational growth platform, empowering businesses to build deeper customer relationships and accelerate revenue growth. Trusted and loved by over 14,000 customers across 100+ countries, Wati has established itself as the premier choice for businesses leveraging WhatsApp and other messaging channels to connect with customers on their platform of choice.In a world where real-time interactions drive growth, Wati's story is all about business growth through conversations.At Wati, we believe that every conversation matters, whether it's engaging a first-time prospect, nurturing a qualified lead, or deepening relationships with loyal clients. We transform these conversations into opportunities for building relationships, and strong relationships lead to increased revenue.Our PlatformThe AI-native platform simplifies complex business operations by bringing all customer interactions under one intelligent roof. Designed for scalability and ease of use, our solution delivers a measurable ROI while adapting to businesses of all sizes, from emerging startups to established enterprises.Our Backing & PartnershipsWati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premier-tier Partner of Meta, Google, and WhatsApp, we maintain the highest standards of integration and platform excellence.About The RoleWe're looking for a Data Backend Engineer to join our China team and strengthen Wati's data infrastructure. This role is ideal for someone who loves working with large-scale data systems, enabling insights, analytics, and intelligent decision-making across our platform.What You'll DoBuild and maintain scalable data pipelines and backend servicesDesign and optimize data storage solutions (structured and unstructured)Collaborate with product and analytics teams to deliver data-driven featuresEnsure data quality, availability, and performance at scaleIntegrate with third-party APIs and tools for reporting and analyticsRequirementsBachelor's or Master's degree in Computer Science, Data Engineering, or related field2-4 years of experience in backend/data engineeringStrong skills in Python, Java, or GoHands-on experience with SQL and NoSQL databases (MongoDB, PostgreSQL, BigQuery)Familiarity with ETL pipelines, data warehousing, and streaming frameworks (Kafka, Spark, Flink)Understanding of cloud-based data infrastructure (GCP, AWS, or Azure)BenefitsExperience with ML/AI model integrationKnowledge of data governance and security practicesFamiliarity with BI tools (Tableau, Looker, Metabase)