Creating and maintaining efficient database systems and data architecture that allows for effective data retrieval, storage, and manipulation, with a focus on relational databases (PostgreSQL).
Performing data migration activities, ensuring smooth transitions between different systems.
Managing various data-related activities, including data parsing, cleansing, defining data quality standards, creating pipelines, and writing ETL scripts. Monitoring and maintaining data integrity, security, and recovery procedures
Handling database administration tasks such as backup, restore, and managing permissions and security measures.
Writing, optimizing, and troubleshooting SQL queries to ensure database efficiency and performance.
Working in an Agile (SCRUM) environment, using collaboration tools like JIRA and Confluence, and communicating effectively with team members to solve complex issues.
requirements-expected :
Experience Relational DB, preferably PostgreSQL, data migration activities.
Experience in creating database systems, data architecture that allows for efficient data retrieval, storage, and manipulation.
In-depth understanding of data management, including permissions, security, monitoring, and recovery.
Proficiency in SQL, including writing and optimizing SQL statements.
Hands on experience Unix/Linux
Exposure on DBA activities (e.g. Backup & Restore)
Handling of data-related activities such as data parsing, cleansing, quality definitions, pipelining, storage and ETL scripts
Experience with batch job scheduling and identifying data/job dependencies.
Excellent communication and problem-solving skills, and the ability to work independently aspart of a team.
Strong Analytical and Critical thinking skills - ability to work under pressure and resolve complex issues.
JIRA & Wiki Collaboration (e.g. Confluence).
Agile Methodologies (e.g. SCRUM)
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
