EtiVenture Analytics

www.etiventure.com

1 Job

15 Employees

About the Company

EtiVenture Analytics is a premier consulting and staffing organization specializing in Business Intelligence, Analytics, and Cloud technologies. We work with companies to build world-class information solutions that help them achieve their goals. We also specialize in talent management for IT professionals working with some of the best companies in the world. Matching talented, high performers with the right company is what we do best.

Listed Jobs

Company Name: EtiVenture Analytics
Job Title: Senior Fabric Data Engineer
Job Description: **Job Title** Senior Fabric Data Engineer **Role Summary** Lead data engineering initiatives for a large data warehouse project, leveraging Azure Synapse and Microsoft Fabric. The role requires designing, developing, and optimizing data solutions across pipelines, warehouses, and application systems. Focus on multidisciplinary collaboration, delivering scalable architectures, and translating business requirements into technical implementations. **Expectations** - Build best-in-class data solutions with dimensional modeling, data architecture. - Develop efficient, scalable data pipelines and integrations using Azure tools. - Ensure seamless communication with teams and stakeholders on project status, risks, and deliverables. - Collaborate with analysts, developers, and business experts to align data strategies with organizational needs. **Key Responsibilities** - Architect and implement data engineering solutions using Azure Synapse, Fabric, Databricks, and Data Lake. - Design, deploy, and maintain data warehouses and ETL/ELT processes. - Translate business and technical requirements into modular, testable data models. - Integrate Microsoft Dynamics ERP data into enterprise systems. - Validate data quality, optimize query performance, and troubleshoot system issues. - Document system specifications and ensure compliance with data governance standards. **Required Skills** - Proficiency in Azure Synapse, Data Factory, Databricks, and Data Lake. - Hands-on expertise in SQL and Python for data engineering tasks. - Strong understanding of relational databases, big data models, and data warehousing principles. - 4+ years of experience in multi-platform data engineering environments. - 7+ years of software application lifecycle experience (analysis, design, deployment, support). **Required Education & Certifications** - Bachelor’s degree in computer science, data engineering, or related field. - Professional certification in Azure data platforms or Microsoft solutions (e.g., Azure Data Engineer Associate).