HCLTech 招聘高级数据工程师 加拿大 | LinkedIn

Primary Data Engineering & Analytics Background in data engineering concepts, pipelines, and data quality practices. Working knowledge of Azure Data Explorer (Kusto) and Cosmos DB, including query patterns and data modeling. Experience validating datasets, performing thorough self-reviews, and ensuring the reasonableness and integrity of results. Familiarity with data cleaning, processing, and preparing datasets for downstream use (e.g., analytics, reporting, dashboards). Experience with Power BI or similar BI tools to support analysis and executive reporting is a plus. Software Engineering & Production Readiness Strong understanding of modern software development lifecycles and code promotion to production. Hands-on experience with Azure DevOps (ADO) pipelines, CI/CD workflows, and release management. Familiarity with enterprise security, privacy, and compliance reviews required to ship production software. Experience working with source control (e.g., Git) and managing multiple source‑controlled assets with a focus on auditability, code quality, and minimizing technical debt. Ability to operate effectively within established engineering governance and quality standards. AI & Prompt Engineering Practical experience working with AI systems from a prompt engineering perspective. Ability to design, test, and iterate prompts to drive reliable, repeatable, and scalable outcomes. Comfort integrating AI-driven workflows into broader software and data engineering systems