Build scalable cloud data pipelines with Python, SQL, and Databricks in a Cloud Data Engineer position focused on secure processing.This Cloud Data Engineer position centers on designing, building, and maintaining scalable data pipelines and Azure cloud platforms. You will work with large datasets, optimize workflows, and support productive storage and processing. The work includes Spark programs, Delta Lake, data integration, and modeling.Key Responsibilities:Build and optimize ingestion, transformation, and loading pipelinesDevelop Spark programs in Databricks for large datasetsOptimize, monitor, and troubleshoot Databricks jobsImplement data management, security, and governance practicesPerform code reviews against requirements and standardsRequirements:Five-plus years of Python coding experienceFive-plus years developing with SQL Server large datasetsFive-plus years deploying Databricks PySpark ETL pipelinesExperience with cloud warehouses including Synapse or SnowflakeExperience with dimensional data modeling and data warehousingApply Python, SQL, Databricks, and cloud data engineering expertise to scalable pipelines and secure data processing.#J-18808-Ljbffr

📌 Cloud Data Engineer (Winnipeg)
🏢 Rivago Infotech
📍 Winnipeg