Senior Data Platform Engineer — Cloudera, AWS & Kubernetes The mission We are looking for a battle-tested Data Platform Engineer who can build, operate, troubleshoot, and evolve large-scale data platforms across on-premises Cloudera environments and cloud-native AWS/Kubernetes architectures. This is not a dashboard or SQL-only role. You will work where distributed compute, storage, networking, Kubernetes, and production data pipelines meet. You must be comfortable tracing a failed workload from the application layer through Spark or Flink, Kubernetes operators, HDFS/Hive, infrastructure, and AWS services. The goal is to help us evolve safely from on-premises, VM, and EC2-based platforms into resilient, observable, cloud-native data systems. What you'll do - Build and operate production data platforms across Cloudera on premises, Cloudera cloud environments, AWS EMR, and Kubernetes. - Design batch and streaming pipelines using Spark, Flink, Hive, and related technologies. - Transform large datasets through filtering, sorting, joining, aggregation, partitioning, enrichment,



and restructuring. - Work with Parquet, Avro, JSON, CSV, and other delimited or semi-structured formats. - Design storage, partitioning, compression, retention, and lifecycle strategies across HDFS, Hive, and object storage. - Design and maintain Hive schemas, tables, partitions, metadata, and data models. - Administer Cloudera clusters, including installation, upgrades, configuration, scaling, patching, security, backup, and recovery. - Troubleshoot unhealthy services, failed jobs, resource contention, data skew, small-file problems, metadata issues, and storage bottlenecks. - Tune Spark and Flink workloads for memory, CPU, parallelism, shuffle behavior, checkpointing, and recovery. - Operate AWS services such as EMR, S3, IAM, EC2, EKS, CloudWatch, KMS, and supporting networking services. - Deploy and operate data workloads on Kubernetes using operators, Helm, custom resources, and GitOps-based de

📌 Senior Data Engineer (India)
🏢 Tookitaki Holding PTE
📍 India