AI Data Engineer

23 hours ago

Spring, TX, United States Cynet Systems Full time
Job Description:

Responsibilities:
  • Collaborate with data modelers to prepare and optimize datasets for AI model training and inference.
  • Design and implement data pipelines that support AI/ML workflows, including feature engineering and model monitoring.
  • Integrate AI-powered analytics and predictive models into business intelligence tools like Power BI.
  • Evaluate and implement AI services (e.g., Azure Cognitive Services, OpenAI, or custom ML models) to enhance data products and user experiences.
Required Skills and Experience:
  • SQL, DBT, ADF, DAX, Power BI, Snowflake
  • I/ML Integration: Experience integrating AI/ML models into data pipelines and analytics platforms.
  • Data Modeling: Hands-on experience in designing and implementing complex data models, with a strong understanding of normalization, denormalization, and schema designs such as star schema and snowflake schema.
  • Ingestion Processes: Hands-on experience in developing and optimizing EL (Extract and Load) processes using ADF (Azure Data Factory).
  • Data Transformation Processes: Hands-on experience in developing and optimizing DBT (Data Build Tool) models, including data testing.
  • Data Warehousing: Understanding of data warehousing concepts and best practices, particularly with the Snowflake platform, including optimization strategies, query tuning, and clustering.
  • Cloud Platforms: Experience with Azure, particularly in relation to data storage, integration, processing, and AI services.
  • Programming Languages: Proficiency in SQL and DAX; familiarity with Python or R for AI/ML tasks is a plus.
  • Visualization Expertise: Experience creating interactive and performant visualizations using Power BI, including designing and maintaining semantic models.
  • I Training & Development: Experience working with the data, systems, and architecture to train and develop new AI-powered analytics and functionality.
Relevant Certifications:
  • PL-300: Power BI Data Analyst Associate.
  • DP-203: Azure Data Engineer Associate.
  • SnowPro® Core Certification.
  • SnowPro® Advanced: Data Analyst.
  • SnowPro® Advanced: Data Engineer (DEA-C02).
  • I-102: Designing and Implementing an Azure AI Solution (Recommended).
  • Microsoft Certified: Azure AI Engineer Associate (Optional but valuable).
Skill:
  • I/ML.
  • Data Modeling.
  • Power BI.

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