Data Platform Engineer

About the Company We are a large-scale consumer technology platform serving millions of users, focused on building data-driven, high-impact products. Our engineering teams work with modern cloud and big data technologies to solve complex, real-world problems at scale.Roles & ResponsibilitiesDesign, develop, and maintain real-time and batch data pipelines to support analytics and business use cases.Build scalable data processing solutions using Python, Java, or Go.Implement and optimize streaming and batch workflows using Spark, Flink, and Kafka.Manage and optimize data storage solutions such as ClickHouse and Iceberg.Deploy, monitor, and maintain data services using Kubernetes and AWS ECS.Ensure data reliability, performance, and quality across data pipelines.Perform root cause analysis and troubleshoot data pipeline and production issues.Collaborate with cross-functional teams including engineering, analytics, and product.Contribute to improving data engineering standards, tools, and best practices.(Optional) Support AI/ML-driven use cases such as automated PII detection and anomaly analysis.Experience and QualificationsBachelor’s degree in Computer Science, Engineering, or a related field.2+ years of experience in data engineering or backend data systems (experience level can be adjusted).Strong programming skills in Python, Java, or Go.Hands-on experience with real-time and batch data pipelines.Practical knowledge of Spark, Flink, and Kafka.Experience working with modern data stores such as ClickHouse and Iceberg.Familiarity with cloud-native deployments, including Kubernetes and AWS ECS.Strong problem-solving, debugging, and troubleshooting skills.Ability to work effectively in a collaborative, fast-paced environment.Excellent verbal and written communication skills.

Apply Now