Data Analytics Engineer

November 27

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Veeam Software

WebsiteLinkedInAll Job Openings

Data Protection • Virtual Environment Management • Data Management • Backup • Backup and Recovery

5001 - 10000 employees

Founded 2006

☁️ SaaS

🔒 Cybersecurity

🏢 Enterprise

💰 Private Equity Round on 2019-01

Description

• Veeam Software is the leader in data backup, recovery, and ransomware protection with over 400,000 customers world-wide. • We are seeking an Analytics Engineer to join our internal and international Data Management team. As an Analytics Engineer, you will be part of the team transforming and delivering data for our Data Science, Analytics, and Reporting team use. You will be responsible for designing, implementing, and maintaining our data marts, pipelines, and data processes. This role requires a blend of strong technical skills, analytical thinking, and a understanding of business processes. • Your tasks will include: • Design, implement, and maintain scalable and reliable data marts and transformation processes. • Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and requirements. • Develop and optimize data models and schemas to ensure data is stored efficiently and can be retrieved and analyzed quickly. • Implement ETL processes and frameworks to transform raw data from multiple sources into structured formats suitable for analysis. • Work closely with our internal Data, Architecture, and DevOps teams to ensure the reliability and scalability of data systems. • Monitor and troubleshoot data pipelines, and look for opportunities for continuous improvement • Document data systems, data flow, and data processes.

Requirements

• Bachelor's or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent work experience. • Strong proficiency in SQL and experience with database and data warehouse systems • Experience building and deploying data processes in a cloud environment (Azure, AWS, GCP) • Experience in at least one programming language (e.g., Python, Java, Scala) • Understanding of best practices in designing ETL/ELT processes, data modeling, and data warehousing • Good written and oral English (B2 or higher)