Senior Azure Data Engineer

Arizona City, Arizona

Mentek
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Transform Data into Valuable Insights

Join Mentek's dynamic team of data professionals and collaborate remotely with top-tier enterprise clients. As a Senior Azure Data Engineer, you will design and build essential analytics systems that merge traditional data engineering with innovative AI features. Engage with a talented group of engineers while enjoying competitive compensation and tackling exciting data challenges.

Your Responsibilities
  • Develop comprehensive data solutions utilizing Azure Data Factory, Synapse Analytics, and Fabric
  • Create sophisticated data models that deliver swift and dependable analytics
  • Construct scalable transformation pipelines employing the most suitable tools for each task
  • Design impactful dashboards and reports that make data understandable and actionable
  • Enhance analytics with AI features through vector search and retrieval-augmented generation
What You Bring

Key Technical Skills:
  • Expertise in Azure's data ecosystem (Data Factory, Synapse, Fabric, Data Lake Storage)
  • Strong proficiency in databases and SQL, including optimization techniques
  • Experience in data transformation using PySpark or Python
  • Power BI skill set, including DAX and data modeling
  • Familiarity with AI search technologies and vectorization approaches
  • Knowledge of RAG patterns utilizing tools like Semantic Kernel or LangChain
The Human Touch:
  • Analytical mindset with a strong emphasis on data quality
  • Ability to simplify complex technical concepts for a non-technical audience
  • Collaborative spirit while working alongside analysts and specialists
  • Proactive approach to problem-solving and accountability for outcomes
  • Genuine interest in keeping up with Azure's advancing features
Education:
  • Bachelor's degree in Computer Science, Data Science, or relevant experience
Why Work With Us

As a Senior Azure Data Engineer at Mentek, you will establish the essential data infrastructure that propels intelligent enterprise applications. Collaborate with prestigious clients to revolutionize their data landscapes and unveil new insights by merging traditional analytics with AI innovation.

If you are eager about creating impeccable data architectures and advancing analytics with AI, let's work together to achieve something extraordinary.

Date Posted: 29 April 2025
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