Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
100% Travel
Skills
ADF
Snowflake
DBT
Job Details
Need Senior-Level Candidate
The client is in process of modernizing the data and recently moved from On-prem to Cloud (Azure)
Data is related to IT and work management uses DBT to transform the data to Snowflake
Need Data Engineer who can structure the unstructured data
Uses Power BI to showcase the Data
Need experience with AI to deal with this data, as the client is looking to modernize the data using AI
GitHub is used to control this data, so experience with GitHub is needed
Need experience with strong Data Modelling experience
DBT Data Transformation
Power BI-Semantic Model
Data Modelling Skills required
Team located in Brazil, the US and Hungary.
They will be working with Global teams
AI Tool experience Snowflake AI, Gen AI, Open AI
Oil and Gas Industry exp Not mandate
Hands-on experience required (performance and Functionality)
HM will start interviewing candidates as soon as they see qualified candidates
The client is in process of modernizing the data and recently moved from On-prem to Cloud (Azure)
Data is related to IT and work management uses DBT to transform the data to Snowflake
Need Data Engineer who can structure the unstructured data
Uses Power BI to showcase the Data
Need experience with AI to deal with this data, as the client is looking to modernize the data using AI
GitHub is used to control this data, so experience with GitHub is needed
Need experience with strong Data Modelling experience
DBT Data Transformation
Power BI-Semantic Model
Data Modelling Skills required
Team located in Brazil, the US and Hungary.
They will be working with Global teams
AI Tool experience Snowflake AI, Gen AI, Open AI
Oil and Gas Industry exp Not mandate
Hands-on experience required (performance and Functionality)
HM will start interviewing candidates as soon as they see qualified candidates
Key Responsibilities:
- Collaborate with data modellers to prepare and optimise 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.
Qualifications:
- 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.