Sr Data Engineer

• 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, CloudWatch) 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 production-ready pace.