Implement backup and recovery procedures.
Data Engineering & Big Data Services
Support and manage Amazon EMR clusters for big data workloads.
Monitor Spark, Hadoop, and EMR job execution.
Manage AWS Glue jobs, Crawlers, Data Catalogs, and ETL workflows.
Troubleshoot data processing failures and performance bottlenecks.
Streaming & Messaging Services
Support Amazon MSK (Managed Kafka) environments.
Monitor Kafka brokers, topics, consumer groups, and replication health.
Troubleshoot connectivity, throughput, and latency issues.
Monitoring & Operations
Configure and manage CloudWatch metrics, dashboards, and alarms.
Support incident, problem, and change management processes.
Perform log analysis using CloudWatch Logs and other monitoring tools.
Participate in on-call rotations and production support activities.
Required Skills
AWS Services
Linux Administration
Kubernetes Fundamentals
Docker Containers
Kafka Basics
Networking (TCP/IP, DNS, VPN, Load Balancing)
Shell Scripting (Bash) or Python
Monitoring and Troubleshooting Skills
Preferred Qualifications
AWS Certified Cloud Practitioner / AWS Solutions Architect Associate / AWS SysOps Administrator.
Experience supporting production environments.
Exposure to Data Lake, Analytics, or Data Engineering platforms.
Knowledge of Spark, Hive, Hadoop, or Kafka ecosystems.
Understanding of hybrid cloud and cloud networking concepts.
Soft Skills
Strong analytical and troubleshooting abilities.
Excellent verbal and written communication.
Ability to handle multiple incidents and tasks simultaneously.
Customer-focused mindset with strong ownership and accountability.
Ability to work in a 24x7 support environment when required.
Experience
1.5 + Years of relevant AWS Cloud Operations experience, with hands-on exposure to EC2, EKS, EFS, MSK, EMR, Glue, and related AWS services in production environments.