04 Sep
|
Tookitaki Holding
|
Bengaluru
04 Sep
Tookitaki Holding
Bengaluru
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-bas
📌 Senior Data Engineer (Bengaluru)
🏢 Tookitaki Holding
📍 Bengaluru