Data Scientist – Snowflake & Database Administration (ID: 4136)
Summary
Senior data role at STAFIDE (IT staffing firm) in Amsterdam: design and administer Snowflake, Oracle, and PostgreSQL database environments, build and monitor ETL/ELT pipelines, and migrate legacy data to modern cloud platforms using SQL, Python, and Azure.
- Design, develop, and manage scalable data analytics and data warehousing platforms.
- Administer, configure, monitor, and optimize Snowflake environments and associated databases.
- Develop and execute data migration strategies from legacy systems to modern data platforms.
- Design, implement, and monitor ETL/ELT pipelines to ensure efficient data processing.
- Manage and optimize Oracle databases, ensuring performance, availability, and reliability.
- Perform PostgreSQL database administration, monitoring, and performance tuning.
- Implement data quality, data integrity, and data security standards.
- Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
- 6–8 years of overall IT experience.
- Strong hands-on experience in Snowflake architecture, administration, and optimization.
- Mandatory experience in Oracle Database Administration (Oracle DBA).
- Good knowledge of PostgreSQL administration and database management.
- Strong understanding of data warehousing concepts and data modelling.
- Expertise in ETL/ELT processes, data migration, and data quality management.
- Good knowledge of SQL and Python.
- Familiarity with Microsoft Azure services and cloud networking.
- Design and maintain scalable Snowflake data warehouse solutions.
- Perform Oracle database administration, troubleshooting, and performance optimization.
- Manage PostgreSQL databases and resolve database-related issues.
- Develop and optimize ETL/ELT workflows for efficient data integration.
- Plan and execute complex data migration activities from legacy systems.
- Monitor data pipelines and ensure data accuracy, consistency, and security.
- Work effectively with technical and business stakeholders.
- Identify performance bottlenecks and implement appropriate solutions.
- An opportunity to work on enterprise-level data engineering and analytics platforms.
- Exposure to modern cloud-based data warehousing technologies.
- Opportunities to work with Snowflake, Oracle, PostgreSQL, and Azure technologies.
- A collaborative and technically challenging working environment.
