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Data Engineer - Java & Spark (f/m/x)

hybridPoland, PLScore 65/1004d ago
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📊 Data Engineering: salaries and demand on the market
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javasparksql
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Description
Обязанности: Designing, developing, and maintaining scalable data pipelines using Apache Spark, Implementing ETL/ELT processes and transformations for large volumes of data, Developing and maintaining data processing components using Java, Optimizing the performance of Spark applications and data processing workflows, Integrating data from various sources and preparing it for further analysis and use by banking systems, Collaborating with Data Engineers, Developers, Analysts, and business teams to design and deliver data solutions, Monitoring code quality and conducting continuous integration Опыт: Minimum 4 years of experience as a Data Engineer working on projects involving large-scale data processing, Strong knowledge of Apache Spark, Practical experience with Java and developing backend applications or data processing solutions, Experience designing and implementing ETL/ELT processes and data pipelines, Good knowledge of SQL and relational databases, Experience working with distributed systems and Big Data environments, Advanced knowledge of English and residency in Poland
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