Title: Senior Data Platform Engineer [SDE 2]Location: Bangalore The Role: We are seeking a Senior Data Platform Engineer to join our dynamic and growing team,responsible for building, scaling, and optimising our cloud-native data platform. You will designand implement scalable data pipelines that power business-critical analytics, real-time insights,and AI/ML solutions. As an experienced data architect and builder, you will have the opportunityto redeﬁne our data infrastructure, enabling the next generation of products and drivinginnovative data initiatives. Roles and Responsibilities:Design, Develop & Deploy scalable Data Platform with real-time and batch processing solutionsWrite highly scalable code by following best practices in concurrency, resource optimisation, and fault tolerance.Build and maintain the Infra with the best IoC practicesIdentify and implement internal process improvements, including automating manual tasks, optimising data ﬂows, and redesigning infrastructure for greater scalability and resilience.Develop automated monitoring, alerting, and logging systems for pipelines to ensure reliability, uptime, and data quality.Build and maintain data tools that enable analytics, BI, and data science teams toexperiment and optimise their workﬂows.Ensure end-to-end data governance by implementing policies for data quality, security, and compliance.Optimise data models and architectures to power machine learning, reporting, and real-time analytics.Collaborate closely with data scientists and product engineers to integrate ML models into production systems and improve system functionality.Work with stakeholders across the organisation to ensure alignment between data infrastructure and business needs. Mandatory Qualiﬁcations:4+ years of hands-on experience in Building and managing large-scale data platforms.Experience with Version control, CI/CD pipelines, Kubernetes, Docker, and IaC tools.Strong Experience in Building and Maintaining Data-Intensive APIs and Distributed Data Processing SystemsStrong programming skills in Scala, Java, and optimising SQL queries.Strong expertise in Spark, Flink, Iceberg, Delta Trino, KafkaExperience with both relational SQL and NoSQL databasesStrong understanding of REST APIs, Microservices, event-driven architectures, and Stream processing frameworks.Experience working in cross-functional, agile environments.Open-source contributions or active participation in developer communities.Prior experience in a product-based company is highly preferred.