Data Science Specialist

Trigyn has a contractual opportunity for an Data Science Specialist.This resource will be working Remotely.Job Description: The Data Science and Engineering Specialist will be responsible for the following duties:- Architect, analyze, integrate and manage data in order to build data models and data driven insights to generate significant organizational value;- Implement data collection and integration procedures to gather information that is relevant for building and embedding analytic systems into user portals;- Create modelsand processes to collect, distill and interpret data with a view to aid better, more informed decision making;- Analyze a broad range of existing data sources;- Examine and explore data from multiple disparate sources;- Analyze and implement data pipelines to bring data from databases and APIs into the analytics platform;- Processing, cleansing, and verifying the integrity of data used for analysis;- Design and implement data marts and data pipelines using hybrid cloud technologies;- Develop tabular cubes, database views, datasets and dataflows to expose data to visualization tools;- Build machinelearning solutions for monitoring, detection, automation and forecasting;- Write documentation and prepare training materials;- Perform otherduties as required Qualification Requirements/Evaluation Criteria Education: Advanced University degree (Master’s degree or equivalent) in Applied Mathematics, Physics, Statistics, Computer Science, Information Systems / Technology, Business Administration, Engineering, or related field.A first level university degree with a combination of relevant academic qualifications and experience in information and communications technology may be accepted in lieu of advanced university degree.Language: Fluency in spoken and written English is required.JFQ/JSQ: Required:- A minimum of five (5) years of progressively responsible professional experience in the field of Information and Communication Technologies, Engineering or other related fields is required.- A minimum of three (3) years of experience in development, implementation and maintenance of data systems, integrations and ETLs or related areas is required;- A minimum of three (3) years of experience with Microsoft SQL or other relational databases;- A minimum of three (3) years of experience with MS Fabric;- A minimum of three (3) years of experience developing with MS Microsoft SQL Server Integration- A minimum of three (3) years of experience in data transformation with Python;- Experience developing data models with DAX or MDX in MS SQL Server Analysis Services or Power BI;- Experience leveraging Generative AI tools and Large Language Models (LLMs) to accelerate data transformation, scripting (Python, DAX, SQL), and data modeling;- Experience indatabase modeling and datamart design; Desirable:- Experience in programming with C# and .Net;- Experience with MS machine learning and AI solutions;- Experience inREST APIs;- Familiarity with data automation techniques;- Familiarity with big data frameworks such as Spark and Hadoop;- Knowledge of Agile/Scrum methodologies

A first level university degree with a combination of relevant academic qualifications and experience in information and communications technology may be accepted in lieu of advanced university degree, Language: Fluency in spoken and written English is required. JFQ/JSQ: Required:

• A minimum of five (5) years of progressively responsible professional experience in the field of Information and Communication Technologies, Engineering or other related fields is required.
• A minimum of three (3) years of experience in development, implementation and maintenance of data systems, integrations and ETLs or related areas is required;
• A minimum of three (3) years of experience with Microsoft SQL or other relational databases;
• A minimum of three (3) years of experience with MS Fabric;
• A minimum of three (3) years of experience developing with MS Microsoft SQL Server Integration
• A minimum of three (3) years of experience in data transformation with Python;
• Experience developing data models with DAX or MDX in MS SQL Server Analysis Services or Power BI;
• Experience leveraging Generative AI tools and Large Language Models (LLMs) to accelerate data transformation, scripting (Python, DAX, SQL), and data modeling;
• Experience indatabase modeling and datamart design; Desirable:

• Experience in programming with C# and . Net;

• Experience with MS machine learning and AI solutions;
• Experience inREST APIs;
• Familiarity with data automation techniques;
• Familiarity with big data frameworks such as Spark and Hadoop;
• Knowledge of Agile/Scrum methodologies