Principal Java Data Engineer

Role: Principal Java Data Engineer

Location: Canada (Remote)

Long Term contract

Mandatory skill:- Spec-Driven Development (SDD) is Must with AI

Ideal Experience

• Lead and guide the design and implementation of scalable distributed systems based on Java microservices
• Engineer and optimize data pipelines using solutions like Apache Hudi Apache Trino Azure ADLS
• Collaborate cross-functionally with product analytics and AI teams to ensure data is a strategic asset
• Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering including a minimum of 4 years focused on data pipelines (batch and streaming)
• Proven experience driving technical direction and mentoring engineers while delivering complex high-scale solutions as a hands-on contributor
• 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)
• Operational excellence in observability with experience implementing metrics logging tracing and alerting for data pipelines using modern tools
• Solid foundation in data governance and performance optimization ensuring reliability and scalability across batch and streaming environments
• Proven experience with Lakehouse architectures and related technologies including Apache Hudi Azure ADLS Gen2 HDFS and other big data technologies (Trino Databricks Spark)
• Strong collaboration and communication skills with the ability to influence stakeholders and evangelize modern data practices within your team and organization.