Platform Data Engineer / Developer

Mandatory skills

Kubernetes: - In depth mastery of core Kubernetes concepts, including Control Plane Architecture, Networking (CNI, Service, Ingress, NetworkPolicy), Storage (CSI, PV, PVC), Security (RBAC, Secrets), Scheduling, and Resource Management - Must have proven track record of successfully deploying and managing large-scale, mission-critical Kubernetes clusters in production environment

Observability: - Mastery of core observability principles, including Metrics, Logs, Traces, Baggage, SLOs/SLIs, Alerting, Instrumentation, and Correlation. - Must have proven experience engineering/developing and implementing comprehensive observability solutions using the OpenTelemetry framework, resulting in significant reductions in Mean Time To Detection (MTTD) or Mean Time To Resolution (MTTR).

 

Frameworks: Opentelemetry or equivalent Airflow:

- Strong understanding of core Airflow architecture, including Control-M integration, DAG best practices, scheduling, operators, and executors.

- Must have proven experience owning and stabilizing production Airflow environments, ensuring reliable execution of critical data workflows that support business operations. Coding Scripting: (Technologies)

- Proficiency in Python for automation, tooling, and systems development, coupled with strong Bash scripting skills.

- Demonstrated experience building impactful internal tools or services that significantly enhance developer productivity and platform capabilities.

- Demonstrated expertise in identifying and resolving highly complex, cross-functional issues within distributed systems.

 

Desired skills

 

- Experience with Service Mesh, and Gitops tools, alongside with advanced Kubernetes security solutions - Proficiency in large-scale data platforms such as Kafka, and Cassandra

- Knowledge of Secret Management, Network Layers, and Associated Technology Components.

Duration Of Contract 6 Months Contract (Potential extension based on performance and business needs)