DescriptionOur client provides property, agricultural, cyber risk, business, casualty insurance, and reinsurance products.We are seeking a Senior Data Engineer to join our team. As a Senior Data Engineer, you will play a crucial role in building and optimizing data pipelines and architectures and integrating data from various sources. You will be responsible for designing, developing, and maintaining data integration solutions using Azure Analytics, Azure Data Factory, Azure Databricks, Azure Pi
DescriptionOur client provides property, agricultural, cyber risk, business, casualty insurance, and reinsurance products.We are seeking a Senior Data Engineer to join our team. As a Senior Data Engineer, you will play a crucial role in building and optimizing data pipelines and architectures and integrating data from various sources. You will be responsible for designing, developing, and maintaining data integration solutions using Azure Analytics, Azure Data Factory, Azure Databricks, Azure Pipelines, and other Data Integration (ETL/ELT) Platforms.Our ideal candidate has a strong background in data engineering and experience with Profisee Master Data Management tool.ResponsibilitiesDesigning and implementing data integration solutions using Azure Analytics, Azure Data Factory, Azure Databricks, and Azure PipelinesDeveloping and maintaining ETL/ELT processes to collect, transform, and load data from various sources into data warehousesOptimizing data pipelines and architectures to improve efficiency and scalabilityCollaborating with cross-functional teams to understand data requirements and provide technical solutionsTroubleshooting and resolving data integration issuesPerforming data validation and quality checks to ensure data accuracy and integrityKeeping up-to-date with industry trends and best practices in data engineeringRequirements3+ years of experience as a Data Engineer with Data Integration expertiseAzure Analytics, Azure Data Factory, Azure Databricks, Azure Pipelines, Data Integration (ETL/ELT) Platforms, PySpark, Azure Synapse Analytics, PythonExperience developing, and managing end-to-end data pipelines, ETL (Extract, Transform, Load), and ELT (Extract, Load, Transform) solutionsAble to design & build end-to-end data engineering solutions using Azure Synapse AnalyticsSolid understanding of data modeling, lakehouse, data warehousing, and data governance principlesExcellent communication and collaboration skills to work effectively with cross-functional Agile teamsUpper-Intermediate level of English, both spoken and written (B2+)Nice to haveMicrosoft SQL Server, Microsoft SQL Server Integration Services, Python, SQLUnderstanding of Azure DevOps PipelinesUnderstanding Test Driven Design Principles and Unit Test Frameworks such as PyTestWe OfferCompetitive compensation depending on experience and skillsIndividual career pathUnlimited access to LinkedIn learning solutionsSick leave and regular vacationEnglish classes with certified English teachersFlexible work hours
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