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Data Engineer

External
valmet logoValmet · Pune, India
Full-timeOn-siteToday
ApacheCI/CDData ModelingHadoopKafkaNoSQL
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Benefits

Challenging and innovative technical projectsCollaborative work environmentOpportunity to learn about tissue machinery technologyWe offer you a rewarding position in a global industry leader in pulp, paper and energy industries with the possibilities to grow professionally.If this sounds like something you are looking for and you are ready to go forward on your career, send your application with your CV via the link providedWhen everything works together,

Additional Information

Data Engineer As an experienced Data Engineer / Big Data Engineer at Valmet, you will contribute to the design and implementation of Modern Data Platforms, develop scalable and innovative data architectures, and transform complex data into valuable insights for our clients. Projects may be delivered both on-premises and in cloud environments, depending on customer needs, architecture constraints, and project scope. In this role, you will play a key part in the following activities: Designing and implementing modern data architectures, including Data Platforms, Data Mesh, Lambda/Kappa architectures, and scalable data ecosystems supporting analytics and AI use cases Modeling, analyzing, and developing Big Data solutions Implementing data integration, transformation, data quality, and data pipeline processes Working with structured, semi-structured, and time-series data from industrial environments Applying best practices in Data Governance, data security, scalability, and performance optimization Supporting the technical definition of data solutions across both cloud and on-premises infrastructures Your Profile Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Mathematics, Statistics, Physics, Automation Engineering, or another technical/scientific discipline Minimum 3 years of professional experience in Data Engineering, Big Data Engineering, or similar roles Experience in data modeling on modern data architectures, spanning relational databases such as PostgreSQL, NoSQL systems, time-series databases such as TimescaleDB, and Big Data technologies built on open-source ecosystems Knowledge of Big Data frameworks and technologies such as Apache Spark, Hadoop, and Kafka Experience in designing Big Data architectures and modern Data Warehouses Familiarity with DevOps processes, CI/CD principles, and Data Virtualization concepts Experience with cloud environments and/or virtualized infrastructures is considered a plus Ability to work in distributed architectures, including solutions deployed on VM-based environments Fluent English, both written and spoken


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