Data Platform Engineer

We are looking for a Data Platform Engineer to join our small, dynamic team at a fast-growing company delivering a cutting-edge video streaming OS. You will play a key role in both maintaining our legacy AWS-based data streaming infrastructure and contributing to the migration to a modern Azure-based platform., * Maintain & Optimize (AWS Infrastructure).

• Monitor and manage AWS MSK (Managed Streaming for Apache Kafka) clusters: broker health, partition rebalancing, consumer lag, throughput optimization.
• Administer AWS EMR (Elastic MapReduce) clusters running Hadoop, Spark, Hive, and Tez: cluster scaling, node health, resource allocation, job scheduling.
• Build & Automate (Azure Migration).
• Implement infrastructure-as-code using Terraform based on architectural designs provided by the team lead and architect.
• Build and deploy cloud resources on Azure.

Do you have experience in UNIX?, * 1-4 years of hands-on experience in data platform engineering, site reliability engineering (SRE), DevOps, or distributed systems administration.

• Cloud infrastructure expertise with AWS (required) and/or Azure: not just using services, but configuring, tuning, and troubleshooting them.
• Kafka/MSK experience: understanding of topics, partitions, consumer groups, replication, broker configurations, and performance tuning.
• Hadoop ecosystem administration: HDFS, YARN, MapReduce, Hive, or Spark cluster management and troubleshooting.
• Linux/Unix system administration: command-line proficiency, shell scripting (Bash), process monitoring, log analysis.
• Infrastructure-as-Code: Terraform (preferred) or similar tools (CloudFormation, ARM templates, Pulumi).
• CI/CD and automation: GitLab CI, Jenkins, or similar; building pipelines for infrastructure deployments.
• Experience with distributed system monitoring and debugging: understanding logs, metrics, traces, resource contention, and performance bottlenecks.
• Comfortable with networking concepts: VPCs, subnets, security groups, load balancers, DNS, firewalls., * Experience migrating workloads between cloud providers.
• Exposure to Azure Spark deployment options.
• Familiarity with container orchestration.

• Flexible work arrangements.
• 20 working days per year is a Non-Operational Allowance and settled to be use for personal recreation matters and are compensated in full.
• Collaborative and supportive team culture.
• Truly competitive salary.
• Help and support from our caring HR team.