Data Analytics Engineer

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

What we expect from you:

• 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)

Preferred Qualifications:

• Experience with Databricks and Spark
• Experience with Azure cloud
• Experience with Postgres or Vertica
• Experience with Python or Kotlin
• Experience with Salesforce data
• Experience building datasets for analytics and reporting tools

What we offer:

• Medical, dental, and vision through INS. Premium cost for employee and dependent coverage is fully funded by Veeam
• Life insurance and disability coverage
• Two weeks paid time off along with company paid holidays
• Veeam Care Days – additional 24 hours for your volunteering activities
• Cafeteria subsidy
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (Percipio, Athena, O’Reilly) and mentoring through our MentorLab program

Please note: If the applicant is permanently located outside of Costa Rica Veeam reserves the right to decline the application for the position. Applications must be in English.

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