Ikea is hiring for Software Engineer

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Strong proficiency in data engineering principles and practices, with a focus on designing and building scalable data pipelines for processing and transforming large volumes of data.
Extensive experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and Pub/Sub, or similar cloud-based data processing technologies.
Proficiency in programming languages commonly used in data engineering, such as Python or Java, and experience with related frameworks and libraries.
Knowledge of data warehousing concepts and experience with relational and NoSQL databases.
Familiarity with DevOps practices for continuous integration and deployment of data pipelines, including version control systems like Git.
Ability to collaborate effectively with cross-functional teams to understand data requirements and deliver solutions that meet business objectives.

Designing, implementing, and maintaining scalable data pipelines to support analytics and reporting applications.
Collaborating with stakeholders to understand requirements and develop solutions that address business needs.
Leveraging cloud-based data processing technologies, such as Google Cloud Platform, to build efficient and reliable data pipelines.
Implementing best practices for data quality, reliability, and performance optimization.
Contributing to the automation of data pipeline deployment and monitoring using DevOps practices and tools.
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Participating in code reviews, knowledge sharing sessions, and continuous learning activities to enhance your skills and contribute to the team's success.