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Urgent! AI Data Engineer Job Opening In Spring Texas – Now Hiring CYNET SYSTEMS



Job description

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

  • AI/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.


  • AI 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).


  • AI-102: Designing and Implementing an Azure AI Solution (Recommended).


  • Microsoft Certified: Azure AI Engineer Associate (Optional but valuable).



Skill:


  • AI/ML.


  • Data Modeling.


  • Power BI.





Required Skill Profession

Architecture And Engineering



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