Data Engineer at Valmet Inc.

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Big Data Engineering, Data Modeling, Apache Spark, Hadoop, Kafka, PostgreSQL, NoSQL, TimescaleDB, CI/CD, DevOps, Data Governance, Cloud Computing, Data Pipelines, Data Mesh, Data Virtualization

Industry

Machinery Manufacturing

Description

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 What We Offer Challenging and innovative technical projects Collaborative work environment Opportunity to learn about tissue machinery technology We offer: We 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 provided When everything works together, Valmet is where the best talent from a wide variety of backgrounds comes together. With 14,000 professionals around the world, we are the leading global developer and supplier of technologies, automation and services for the pulp, paper and energy industries. Our commitment to moving our customers’ performance forward requires creativity, technological innovations, service know-how – and above all, teamwork. http://www.valmet.com Valmet is a global technology leader serving process industries. We work together with our customers throughout the entire lifecycle, delivering cutting-edge technologies and services as well as mission-critical automation and flow control solutions. Backed by more than 225 years of industrial experience and a global team of over 19,000 professionals close to customers, we are uniquely positioned to transform industries toward a regenerative tomorrow. In 2024, Valmet’s net sales totaled approximately EUR 5.4 billion. Our head office is in Espoo, Finland, and we have experts in approximately 40 countries around the world. Valmet’s shares are listed on Nasdaq Helsinki. To protect our candidates' privacy, Valmet will never ask any personal information such as banking information or social security number during the recruitment process.

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Responsibilities

Design and implement modern data platforms and scalable architectures to transform complex industrial data into valuable insights. This includes developing data pipelines, ensuring data quality, and applying best practices in data governance and security.