Principal Data Engineer
Full Job Posting
Qualifications
- 10+ years of strong software development experience required
- Strong software engineering background with experience in designing and building production-grade applications in Python, Scala, Java, or similar languages .
- Proven experience with Azure-based data platforms , specifically Databricks, Azure Data Lake, Azure Synapse, and Azure Functions .
- Expertise in Apache Spark and Delta Lake , with experience building large-scale distributed data pipelines.
- Experience with workflow orchestration tools like Apache Airflow .
- Cloud experience in Azure , including containerisation (Docker, Kubernetes) and infrastructure as code (Terraform, Bicep) .
- Strong knowledge of modern software architecture, including microservices, event-driven systems, and distributed computing .
- Experience leading teams in an agile environment, with a strong understanding of CI/CD pipelines, automated testing, and DevOps practices .
- Excellent problem-solving and communication skills, with the ability to engage with both technical and non-technical stakeholders.
- Previous experience in data engineering, data science, or analytics-heavy environments is highly desirable.
- Proven line management experience , including mentoring, career development, and performance management of engineering teams.
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