AI Data Engineer

2 days ago

Spring, Texas, United States SWITS DIGITAL Private Limited Full time

Job Title:- AI Data Engineer
Location:- Spring Texas
Primary Skill Set (mandatory Technical Skill Sets)
The ideal candidate will have experience working with medium to complex data structures in a corporate environment. They should be proficient in working hands-on with data in Snowflake, transforming data with DBT, and visualizing it efficiently in Power BI, including implementing logic in DAX. Additionally, the candidate should possess strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders in English.

AI Engineering 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)
  • MS Certified: Azure AI Engineer Associate (Optional but valuable)

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