Job Description
Experience: 5–8 years of professional experience in Data or Platform Engineering roles.
Migration Tools: Expert-level knowledge of AWS DMS, Azure Data Migration, or similar enterprise-grade replication tools.
Coding Mastery: Strong Python skills for building custom ingestion utilities, monitoring agents, and automation scripts.
Data Engineering Core: Deep understanding of Data Lakehouse architectures, dimensional modelling, and SCD Type 2 implementation.
Kubernetes Proficiency: Hands-on experience/knowledge with Docker/K8s (EKS/AKS), including pod health, rollouts, and service connectivity.
Cloud Services: Solid experience with AWS (S3, IAM, Cloud Watch) or Azure equivalent services.
Observability: Familiarity with logging and metrics systems (Prometheus, Grafana, or ELK) to maintain platform health.
Cultural & Operational Fit
Rapid Adaptability: Ability to quickly learn and adapt to new production environments, transitioning from design to deployment at a produ...
Migration Tools: Expert-level knowledge of AWS DMS, Azure Data Migration, or similar enterprise-grade replication tools.
Coding Mastery: Strong Python skills for building custom ingestion utilities, monitoring agents, and automation scripts.
Data Engineering Core: Deep understanding of Data Lakehouse architectures, dimensional modelling, and SCD Type 2 implementation.
Kubernetes Proficiency: Hands-on experience/knowledge with Docker/K8s (EKS/AKS), including pod health, rollouts, and service connectivity.
Cloud Services: Solid experience with AWS (S3, IAM, Cloud Watch) or Azure equivalent services.
Observability: Familiarity with logging and metrics systems (Prometheus, Grafana, or ELK) to maintain platform health.
Cultural & Operational Fit
Rapid Adaptability: Ability to quickly learn and adapt to new production environments, transitioning from design to deployment at a produ...
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