Data Analytics Engineer
Veeam®, the #1 global market leader in data protection and ransomware recovery, is on a mission to empower every organization to not just bounce back from a data outage or loss but bounce forward.
With Veeam, organizations achieve radical resilience through data security, data recovery, and data freedom for their hybrid cloud.
The Veeam Data Platform delivers a single solution for cloud, virtual, physical, SaaS, and Kubernetes environments that gives IT and security leaders peace of mind that their apps
and data are protected and always available.
Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 450,000 customers worldwide, including 74% of the Global 2000, who trust Veeam to keep their businesses running.
Company Description
Everything’s in place for you to win at Veeam – the global leader in Modern Data Management. We provide trusted backup solutions that deliver cloud data management and protection, keeping the world moving for over 400,000 customers including the vast majority of Fortune 500 companies. We’re extremely successful: a billion-dollar company and Leader in the Gartner Magic Quadrant that’s won over 200 top industry awards. But we’re always looking forward. Everyone here plays a part in finding new opportunities and winning new deals, and you’ll be backed by a best-in-service product and an unrivaled reputation for delivering customer satisfaction.
Ultimately though, we grow together, so we’ll support you fully to be successful in your role. We’ll invest in you through our on-demand learning systems. Mentoring, training, and coaching will help you to find your feet, take big challenges in your stride, and perform at your best. There are acceleration programs that could propel you further forward than you imagined. Whether it’s learning additional skills, gaining a new experience, or taking the next step in your career, there will be lots of scope for development.
All this in a place where people talk from the heart. We have a culture of focus and excellence. We encourage innovation and iteration. And since our achievements are tangible, we can keep it real and be genuine with each other. We’re inclusive, diverse, open, and honest people who collaborate, support each other, and have fun together. And we’re nimble enough for people to speak up. We play to win; we’re competitive, hungry, and driven, but we remain humble. If that’s you, get ready to do Veeamazing things.
Job 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.
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
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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