Job Description
Ideal Experience:
• Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
• Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
• Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
• Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
• Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
• Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
• Strong analytical and problem-solving mindset
• Ability to learn quickly and adapt to new technologies, even when uncomfortable
• Self-starter who thrives with minimal supervision and collaborates effectively as a team player
• Excellent organizational and critical-thinking skills
• Comfortable leveraging AI tools to accelerate development
• Mandatory skill:- Spec-Driven Development (SDD) is Must with AI

Thanks & Regards

Principal Data Engineer

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