data engineer for reinsurance risk assessment

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вакансия зп не указана
в среднем 148 702 ₽
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описание

The client is a reinsurance and risk management company that provides solutions across insurance, underwriting, and data-driven risk assessment. It supports clients in addressing complex risks and driving sustainable value.

задачи

  • Create and manage ETL processes using Azure Data Factory to automate data flows between systems and services;
  • Implement data storage solutions using Azure Data Lake and Cosmos DB, ensuring high availability and scalability;
  • Design and optimize data processes in Databricks, implementing Spark jobs that use Delta Lake for data handling and versioning;
  • Develop distributed data processing workflows using PySpark;
  • Build and maintain analytics models using Delta Lake to improve data quality and performance;
  • Develop Python and PowerShell scripts to automate operational tasks, deployments, and monitoring of data workflows;
  • Collaborate with development teams to integrate CI/CD practices using Azure DevOps and Git for version control;
  • Manage and optimize MS SQL Server databases, writing T-SQL queries for data manipulation and reporting;
  • Ensure data integrity and security through database management practices;
  • Implement logging and monitoring solutions to proactively address issues affecting data applications and workflows;
  • Conduct root cause analysis of data-related problems and develop solutions to prevent recurrence;
  • Collaborate with business intelligence teams to create and share Power BI reports;
  • Provide insights and recommendations based on data analysis to guide business decisions.

требования

  • Minimum 5 years of experience in a similar role;
  • Proficiency in Python and PySpark for data processing, optimization, and automation;
  • Experience with PowerShell scripting and Azure Data Factory;
  • Strong understanding of MS SQL Server and T-SQL for database scripting;
  • Familiarity with Databricks, Delta Lake, Azure Data Lake, and Cosmos DB;
  • Experience with Git version control and CI/CD frameworks in Azure DevOps;
  • Solid problem-solving skills and ability to troubleshoot complex data issues;
  • Familiarity with DevOps methodologies, including Scrum and Agile software development practices;
  • Experience creating dashboards and reports using Power BI, and knowledge of data governance and data security best practices;
  • Excellent command of spoken and written English;
  • Nice to have: A bachelor’s degree in Computer Science, Information Technology, or a related field.

условия

  • No conditions specified

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