Design scalable and reliable data marts and transformation processes that support analytics and reporting needs
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into efficient data solutions
Develop optimized data models and schemas that enable efficient storage, retrieval, and analysis of large datasets
Build ETL and ELT pipelines that transform raw data from multiple sources into structured datasets for analytics and reporting
Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems
Monitor data pipelines and systems to troubleshoot issues and identify opportunities for improvement
Document data architectures, data flows, and processes to support transparency, collaboration, and maintainability

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
Strong proficiency in SQL and experience working with databases and data warehouse systems
Experience building data pipelines and data processes in a cloud environment such as Azure, AWS, or GCP
Experience with at least one programming language such as Python, Java, or Scala
Knowledge of ETL/ELT processes, data modeling, and data warehousing best practices
Ability to collaborate with cross-functional teams including analysts, engineers, and business stakeholders
Strong written and verbal English communication skills (B2 level or higher)

Two weeks of paid vacation
12 statutory holidays
4 extra global VeeaMe Days for self-care
24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
Retirement and social security contributions through Costa Rica’s statutory programs
Life insurance equal to 24x monthly salary, plus disability and funeral coverage
Daily cafeteria subsidy
Fertility, adoption, and surrogacy support
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Data Analytics Engineer

Key skills