Join InMobi's Data Platform team and help build a self-serve Data Platform-as-a-Product that powers scalable, reliable, and high-performance data infrastructure.👉 Build next-generation data platforms powering AI, advertising, and commerce experiences👉 Work on large-scale distributed data processing systems👉 Develop robust batch and real-time streaming pipelines👉 Collaborate with platform, infrastructure, and product engineering teamsWhat You'll DoBuild and maintain scalable batch and streaming data pipelinesDevelop integrations across Airflow, Iceberg, and cloud-native platformsDesign efficient data models, partitioning strategies, and query optimizationsSupport Kubernetes-based data platform workloadsOptimize pipelines for performance, scalability, reliability, and cost efficiencyImplement monitoring, logging, and data quality frameworksTroubleshoot production issues and participate in incident managementCollaborate with engineering teams to improve platform usability and developer experienceDrive best practices in data engineering and platform developmentContribute to building a self-serve data ecosystem for internal users🛠 Tech Stack / SkillsData Processing: Apache Spark, PySpark, FlinkProgramming: Python, ScalaWorkflow Orchestration: Apache AirflowData Lake Technologies: Apache Iceberg, Delta Lake, HudiCloud Platforms: AWS, GCP, AzureContainerization & Orchestration: KubernetesDatabases: SQL, Data ModelingDevOps: Git, CI/CD, Terraform, HelmStreaming: KafkaObservability: Prometheus, GrafanaData Quality: Great Expectations, DBTMetadata Management: OpenMetadata, DataHub🧠 What They're Looking For3–6 years of experience in Data Engineering or Platform EngineeringStrong expertise in SQL, data modeling, partitioning, and query optimizationHands-on experience with Spark (PySpark preferred)Experience working with Airflow or similar orchestration toolsKnowledge of modern data lake technologies such as Iceberg, Delta Lake, or HudiWorking knowledge of Kubernetes and cloud platformsStrong Python programming skills