Data Engineer

As an experienced Data Engineer / Big Data Engineerat Valmet, you will contribute to the design and implementation of Modern Data Platforms, develop scalable and cutting-edge 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- 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 experiencein 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

📌 Data Engineer (Pune)
🏢 Valmet
📍 Pune