HybridDescription:Under broad supervision, combines strong technical skills with knowledge of database administration. Works on one or more projects of high complexity. Provides technical support to development team members.We are seeking a motivated Data Engineer to join our team and support the modernization of our data estate. This role focuses on assisting with data pipeline development, migration of legacy systems, and maintaining scalable, secure, and efficient data solutions using modern technologies, particularly Microsoft Fabric and Azure-based platforms.Key ResponsibilitiesAssist in designing, building, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.Support migration and maintenance of SSIS packages from legacy systems.Implement medallion architecture (Bronze, Silver, Gold) for data lifecycle and quality.Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark.Build curated datasets to support Power BI dashboards.Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets.Apply data governance policies in line with Microsoft Purview or Unity Catalog.Support monitoring, logging, and CI/CD automation using Azure DevOps.Technical StackMicrosoft Fabric (Dataflows, Pipelines, Notebooks, OneLake)Azure DatabricksSQL Server / SQL Managed InstancesPower BISSIS (migration and maintenance)LangGraph and RAG DB (for advanced data workflows)QualificationsBachelor's degree in computer science, Information Systems, or related field.2–3 years of experience in data engineering or related roles.Proficiency in SQL, Python, Spark.Familiarity with LangGraph and RAG DB concepts.Hands-on experience with Microsoft Fabric and Power BI.Understanding of ETL/ELT pipelines and data warehousing concepts.PreferredKnowledge of CI/CD automation with Azure DevOps.Familiarity with data governance tools (Microsoft Purview, Unity Catalog).Experience with SSIS package migration and maintenance.Skill - Required / Desired - Amount of ExperienceBachelor's degree in computer science, Information Systems, or related field. - Required - 3 Years2–3 years of experience in data engineering or related roles. - Required - 3 YearsFamiliarity with LangGraph and RAG DB concepts. - Required - 3 YearsUnderstanding of ETL/ELT pipelines and data warehousing concepts. - Required - 3 YearsKnowledge of CI/CD automation with Azure DevOps. - Nice to have - 3 YearsFamiliarity with data governance tools (Microsoft Purview, Unity Catalog). - Nice to have - 3 YearsExperience with SSIS package migration and maintenance. - Nice to have - 3 YearsNotes:HybridVIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
Description:Under broad supervision, combines strong technical skills with knowledge of database administration. Works on one or more projects of high complexity. Provides technical support to development team members.We are seeking a motivated Data Engineer to join our team and support the modernization of our data estate. This role focuses on assisting with data pipeline development, migration of legacy systems, and maintaining scalable, secure, and efficient data solutions using modern technologies, particularly Microsoft Fabric and Azure-based platforms.Key ResponsibilitiesAssist in designing, building, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.Support migration and maintenance of SSIS packages from legacy systems.Implement medallion architecture (Bronze, Silver, Gold) for data lifecycle and quality.Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark.Build curated datasets to support Power BI dashboards.Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets.Apply data governance policies in line with Microsoft Purview or Unity Catalog.Support monitoring, logging, and CI/CD automation using Azure DevOps.Technical StackMicrosoft Fabric (Dataflows, Pipelines, Notebooks, OneLake)Azure DatabricksSQL Server / SQL Managed InstancesPower BISSIS (migration and maintenance)LangGraph and RAG DB (for advanced data workflows)QualificationsBachelor's degree in computer science, Information Systems, or related field.2–3 years of experience in data engineering or related roles.Proficiency in SQL, Python, Spark.Familiarity with LangGraph and RAG DB concepts.Hands-on experience with Microsoft Fabric and Power BI.Understanding of ETL/ELT pipelines and data warehousing concepts.PreferredKnowledge of CI/CD automation with Azure DevOps.Familiarity with data governance tools (Microsoft Purview, Unity Catalog).Experience with SSIS package migration and maintenance.Skill - Required / Desired - Amount of ExperienceBachelor's degree in computer science, Information Systems, or related field. - Required - 3 Years2–3 years of experience in data engineering or related roles. - Required - 3 YearsFamiliarity with LangGraph and RAG DB concepts. - Required - 3 YearsUnderstanding of ETL/ELT pipelines and data warehousing concepts. - Required - 3 YearsKnowledge of CI/CD automation with Azure DevOps. - Nice to have - 3 YearsFamiliarity with data governance tools (Microsoft Purview, Unity Catalog). - Nice to have - 3 YearsExperience with SSIS package migration and maintenance. - Nice to have - 3 YearsNotes:Hybrid
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