Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
Work with customer or partner teams to troubleshoot their complex storage systems for potential performance challenges.
Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.
Minimum qualifications
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
Experience coding with one or more programming languages (e.g., Java, C/C++, Python).
Experience in developing and troubleshooting applications with popular database management systems such as MySQL, PostgreSQL, Oracle, and NoSQL databases like MongoDB
Experience with Structured Query Language (SQL).
Preferred qualifications
Bachelor's degree with 5 years of technical troubleshooting.
Proficiency in data modeling, distributed systems, and SQL, NoSQL, and Google Cloud databases (Spanner, BigTable, AlloyDB).
Expertise in designing and executing large-scale data migrations from on-premise systems to the cloud.
Strong programming skills (Python, Java), script automation, and DevOps implementation using CI/CD and IaC tools.
Deep understanding of data protection, encryption techniques (KMS, HSMs), and regulatory compliance (GDPR, CCPA, HIPAA).
Ability to communicate in English and Portuguese/Spanish fluently for LATAM stakeholders.
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
Experience coding with one or more programming languages (e.g., Java, C/C++, Python).
Experience in developing and troubleshooting applications with popular database management systems such as MySQL, PostgreSQL, Oracle, and NoSQL databases like MongoDB
Experience with Structured Query Language (SQL).
