Azure Databricks Engineer

Job Title: Azure Databricks Engineer

Location: Cincinnati, OH

Duration: Full Time

Required Skill and Experience

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• Experience architecting and implementing data solutions using Microsoft Azure, Azure Databricks, and Azure Data Factory (ADF).
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• Proficiency in data engineering technologies, including Apache Spark, Kafka, SQL, and Python.
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• Hands-on experience with end-to-end implementation of data warehouses and data marts.
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• Understanding of data warehousing concepts, including Data Vault, dimensional modeling, and OLAP design.
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• Experience designing and implementing scalable solutions for distributed data systems.
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• Hands-on experience with CI/CD pipelines and platforms such as GitHub Actions and Azure Pipelines.
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• Experience leading technical teams and mentoring data engineers.
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• Problem-solving skills with the ability to design and deliver complex data engineering solutions
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Preferred Skill and Experience

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• Understanding of retail data domains and associated data use cases.
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• Familiarity with vector search and semantic retrieval, preferably for retail use cases.
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• Experience with relational modeling, dimensional modeling, and modeling of unstructured data.
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• Familiarity with logging, monitoring, and observability solutions.
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• Experience with development containers, unit testing, code-quality reviews, and linting.
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• Understanding of Agile software development methodologies.
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• Ability to work effectively in a diverse, multi-stakeholder environment across business and technology teams.
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• Experience working in a global delivery environment.
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• Experience implementing automation capabilities within data engineering or development processes.
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• Exposure to Generative AI frameworks and technologies, such as OpenAI, Hugging Face, and LangChain.
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