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Job Description Newly Created Roles with an Expanding Niche Industry Software Firm. Using 'Big Data' focused Software-Technology Company that Caters to a Recession-Proof Industry. Bright and Collaborative Team, with ongoing training and support to keep our Engineering team up-to-date with new and emerging technologies. Azure Data Architect: Experience designing, building, and supporting large-scale data lakes/data warehouses using Azure IoT Edge, Azure IoT Hub, Azure Stream Analytics, Azure Blob Storage (Edge), Azure Machine Learning, Azure Digital Twins, Azure Monitor & Defender, and/or Node-RED / MQTT. Experience with pattern recognition and predictive modeling. Deep expertise in AI/ML data; experience developing algorithms and models for large datasets to improve models. Experience working with both structured and unstructured data. Experience with SQL Server data warehouse design, layout, and implementation. Azure Data Engineer: Experience in a key Data Engineering role, focused on ETL processes and managing large data transfers between disparate databases and sources. Hands-on experience with Python scripting for automation within an Azure-SQL Server environment. Experience using DataBricks within an Azure SQL environment. Experience in a similar role within an Enterprise Software Company or Data Division of an external-user company. Pluses for both roles: Advanced Python skills for creating or customizing ETLs, ideally within a Python Azure-SQL Apache Spark environment. Experience with AI/ML data analytics tools like TensorFlow. Proficiency in PowerPoint, Excel, Tableau, SAS, or similar tools. Azure SQL and DataBricks formal training, self-study, or certification. A college degree in Computer Science is a plus. Very competitive compensation package including bonus and benefits. Apply today! These roles are with a unique startup tech company, offering benefits in the form of additional salary and equity. Company Description: We leverage Azure IoT and related technologies to enhance production and yield, utilizing cloud, AI, and data-driven strategies to maximize indoor growth production.

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