- 8+ years of software/data engineering experience with significant technical leadership exposure.
- Strong hands-on experience with Microsoft Azure and Azure Databricks.
- Strong knowledge of Data Engineering, ETL/ELT, SQL, Spark/PySpark and data modelling.
- Excellent programming experience in Python.
- Knowledge in building REST APIs, microservices and backend applications.
- Positive understanding of frontend development and application architecture React/Angular/JavaScript/TypeScript or similar.
- Knowledge with Docker, Kubernetes and CI/CD pipelines.
- Knowledge of Git, DevOps, cloud deployment, monitoring and production support.
- Good knowledge of cloud-native architecture, distributed systems and scalable applications.
- Strong communication, stakeholder management and team leadership skills.
Good to Have
- Azure certifications such as Azure Solutions Architect / Data Engineer.
- Experience with Terraform/IaC, Azure DevOps/GitHub Actions or similar tools.
- Experience with microservices, event-driven architectures and API gateways.
- Experience working directly with enterprise clients and managing multiple technical workstreams.