Sr. Data Engineer with Strong Python Exp (Remote- USA/Canada)

Role: Senior Data Engineer with strong Python exp Location: USA & Canada (Remote) No. of Role - 2 Mandatory skill:- Spec-Driven Development (SDD) is Must with AI JD • :Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADL • SStrong hand-on experience in Pytho • nCollaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asse • tSenior 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 contributo • rStrong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipeline • sPractical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workload • sFluency 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 tool • sSolid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environment • sProven 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 .