Creates Value
Big Data • Analytics • Business Intelligence • Artificial Intelligence • Cloud
51 - 200
May 4
Creates Value
Big Data • Analytics • Business Intelligence • Artificial Intelligence • Cloud
51 - 200
• Utilize Crosser and GCP BigQuery technologies to develop and optimize the company's data infrastructure. • Manage and implement large-scale data processing and analytics projects. • Design effective solutions to manage data flows and ensure data quality. • Follow and improve best practices in data engineering.
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. • Min. 3 years years of proven experience as a data engineering, preferably with expertise in Crosser and BigQuery. • Cloud experience, preferably with Google Cloud Platform (GCP), ideally. • Experience in large-scale data processing and analytics projects. • Strong knowledge of data manipulation tools such as SQL and Python. • Strong communication skills, teamwork-oriented, and proactive. • Ability to innovate solutions and solve problems.
• Remote working and flexible time off • Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc) • Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.) • Opportunity to work on international projects • Private Health Insurance • Birthday Leave Policy • Dynamic work ecosystem where you can take initiative and responsibility • Open communication, flexibility and start-up spirit • Learning & Development opportunities for both personal and professional growth
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