MS Fabric Data Engineer

Job Title: MS Fabric Data Engineer
Location: Tampa FL
Duration: 6 months (Extendable)
Pay Range: $40-45/Hour on W2/C2C (All Inclusive)
Request ID: 112418-1


Position Summary:
Key Responsibilities:
" Design, develop, and maintain scalable ETL pipelines to efficiently ingest, transform, and load data from diverse sources.
" Write optimized and complex SQL queries to support data transformation, validation, and reporting needs.
" Utilize Client Fabric to build and orchestrate data workflows, ensuring data availability and quality.
" Collaborate with data scientists and analysts to support Data & AI projects by preparing reliable and clean datasets.
" Monitor, troubleshoot, and resolve data pipeline issues to ensure seamless data operations.
" Participate in code reviews and contribute to improving development best practices and data governance.
" Stay current with industry trends and emerging technologies in Data Engineering, Client Fabric, and AI.

Role Descriptions: Job Summary:We are seeking a highly skilled Senior Associate Data Engineer with robust experience in Data Engineering and ETL processes| solid SQL expertise| and hands-on experience with Client Fabric. The candidate will support data pipelines and infrastructure that enable Data & AI solutions| collaborating with cross-functional teams to drive data-driven insights and innovationKey Responsibilities:Design| develop| and maintain scalable ETL pipelines to efficiently ingest| transform| and load data from diverse sources.Write optimized and complex SQL queries to support data transformation| validation| and reporting needs.Utilize Client Fabric to build and orchestrate data workflows| ensuring data availability and quality.Collaborate with data scientists and analysts to support Data & AI projects by preparing reliable and clean datasets.Monitor| troubleshoot| and resolve data pipeline issues to ensure seamless data operations.Participate in code reviews and contribute to improving development best practices and data governance.Stay current with industry trends and emerging technologies in Data Engineering| Client Fabric| and AI.Qualifications:Bachelors degree in Computer Science| Information Technology| or related field.Strong experience in Data Engineering and ETL development using industry-standard tools and frameworks.Proficient in SQL with ability to write and optimize complex queries.Hands-on experience with Client Fabric platform preferred.Exposure to Data & AI use cases| including data preparation for machine learning and analytics.Knowledge of cloud data storage solutions and architectures (e.g.| Data Lakes| Data Warehouses).Familiarity with scripting languages (Python| PowerShell) is a plus.Strong problem-solving skills and ability to work collaboratively in team environments.
Essential Skills: Job Summary:We are seeking a highly skilled Senior Associate Data Engineer with robust experience in Data Engineering and ETL processes| solid SQL expertise| and hands-on experience with Client Fabric. The candidate will support data pipelines and infrastructure that enable Data & AI solutions| collaborating with cross-functional teams to drive data-driven insights and innovationKey Responsibilities:Design| develop| and maintain scalable ETL pipelines to efficiently ingest| transform| and load data from diverse sources.Write optimized and complex SQL queries to support data transformation| validation| and reporting needs.Utilize Client Fabric to build and orchestrate data workflows| ensuring data availability and quality.Collaborate with data scientists and analysts to support Data & AI projects by preparing reliable and clean datasets.Monitor| troubleshoot| and resolve data pipeline issues to ensure seamless data operations.Participate in code reviews and contribute to improving development best practices and data governance.Stay current with industry trends and emerging technologies in Data Engineering| Client Fabric| and AI.Qualifications:Bachelors degree in Computer Science| Information Technology| or related field.Strong experience in Data Engineering and ETL development using industry-standard tools and frameworks.Proficient in SQL with ability to write and optimize complex queries.Hands-on experience with Client Fabric platform preferred.Exposure to Data & AI use cases| including data preparation for machine learning and analytics.Knowledge of cloud data storage solutions and architectures (e.g.| Data Lakes| Data Warehouses).Familiarity with scripting languages (Python| PowerShell) is a plus.Strong problem-solving skills and ability to work collaboratively in team environments.