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Senior Databricks Data Engineer building Azure Databricks data pipelines and production AI/ML solutions for oil & gas client projects — sensor/telemetry pipelines, anomaly detection, and natural-language data interfaces. Core stack: Azure Databricks, Spark, Python, SQL, and modern LLM tooling.
Senior data engineer at a Canadian data & AI consultancy in Calgary, building and running ingestion, orchestration, and ETL/ELT pipelines on Microsoft Azure and Fabric (Data Factory, OneLake, Lakehouse, Delta Lake) using SQL, Python, and PySpark, owning work from source analysis through deployment and production support while working directly with clients.
Senior role building end-to-end AI/ML and data solutions for industrial use cases in the Oil & Gas sector. Responsibilities include designing scalable data pipelines, implementing AI-powered anomaly detection, and developing backend systems for AI applications using Azure Databricks, Spark, and Python.
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