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This role focuses on developing and implementing advanced data solutions within the Azure cloud environment.

Design and deploy secure, scalable cloud-based solutions on Azure. Collaborate with stakeholders to translate business needs into technical specifications. Automate processes to enhance operational efficiency. Share knowledge and provide training on cloud technologies. Work closely with various development teams to deliver robust products. Partner with Data Architects and Technical Managers in an agile setting to prototype and develop solutions. Function as an individual contributor and potentially lead small teams (2-4 members).

Possess 4-8 years of experience in architecting and delivering big data solutions. Demonstrate strong SQL and PySpark expertise with hands-on experience. Proficient in integrating diverse data sources using Azure Data Factory, Azure Synapse, and ADLS. Familiarity with Databricks, Unity Catalog, and Delta Lake concepts is essential. Understanding of data modeling principles and experience with BI tools like Power BI is required. Exposure to Azure AI Fundamentals and NoSQL databases (e.g., MongoDB) is beneficial. Ability to convert complex business challenges into secure, performant, and scalable technical solutions. Experience with real-time data ingestion technologies (Kafka, Spark Streaming, EventHub) is a plus. Exhibit strong communication skills, a proactive work style, and the ability to work independently and collaboratively in a fast-paced environment.