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Senior Data Modeller – Data Architecture and Analytics

seniorhybridPoland, PLСкор 72.5/100сегодня
Аналитика рынка
📊 Data Engineer: зарплаты и спрос на рынке
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awsazurecloudgoogle cloudhadooppythonsolidsparkswift
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Описание
Обязанности: Design and develop conceptual, logical, and physical data models to meet business and analytical needs., Collaborate with stakeholders and data teams to gather requirements and translate them into effective data modelling solutions., Conduct data profiling and analysis on relational and hierarchical data sources, including JSON and XML files., Work closely with data architects and engineers to ensure models support data transformation and high-quality data delivery., Participate in architecture discussions to ensure compliance with data design standards and best practices., Stay abreast of emerging data technologies and industry trends, recommending improvements for processes and automation., Support data governance, quality, and security standards to uphold organizational data integrity., Assist in optimizing data models for scalable cloud environments (AWS, Azure, Google Cloud). Опыт: At least 5 years of experience in data modelling for operational and analytical systems., Strong expertise in Data Vault 2.0, Star Schema, and 3NF modelling approaches., Proficiency in data profiling, data analysis, and working with relational databases and hierarchical data formats., Excellent communication skills, able to convey complex concepts to diverse audiences., Solid understanding of data governance principles and data protection practices., Hands-on experience with cloud data solutions (AWS, Azure, Google Cloud)., Python programming skills., Knowledge of big data technologies like Hadoop or Spark., Familiarity with banking industry data models and standards (e.g., FSDM, FIBO, SWIFT).
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