IT Database Administrator

We are seeking a skilled Database Administrator (DBA) with strong experience in data warehousing and ETL processes to manage and optimize our data infrastructure. The role will focus on maintaining high-performance databases ensuring data integrity and supporting data integration pipelines that power analytics and business intelligence initiatives.

The ideal candidate will have hands-on experience with database administration ETL workflows and data warehouse environments and will work closely with data engineers analysts and BI teams to ensure reliable and scalable data systems.

• Install configure and maintain database systems supporting data warehouse environments.
• Monitor database performance troubleshoot issues and implement optimization strategies.
• Design develop and maintain ETL pipelines to extract transform and load data from multiple sources.
• Ensure data integrity security and availability across databases and data pipelines.
• Manage database backup recovery and disaster recovery processes.
• Optimize queries indexing and database performance for analytics and reporting workloads.
• Support data warehouse structures including dimensional models (star and snowflake schemas).
• Collaborate with data engineers BI developers and analysts to support reporting and analytics needs.
• Monitor ETL jobs and troubleshoot data pipeline failures to ensure reliable data flow.
• Maintain documentation of database structures ETL workflows and operational procedures.

• Bachelors degree in Computer Science Information Technology or a related field.
• 35 years of experience in database administration or data engineering roles.
• Strong experience with SQL and relational database management systems.
• Experience supporting data warehouse environments and large datasets.
• Hands-on experience with ETL tools or data integration platforms (e.g. SSIS Informatica Talend DataStage Airflow).
• Knowledge of database performance tuning and optimization.
• Understanding of data modeling and data warehouse architecture.
• Strong analytical and troubleshooting skills.

• Experience with cloud data platforms (AWS Azure or Google Cloud).
• Familiarity with BI tools such as Power BI Tableau or similar analytics platforms.
• Experience with automation or scripting (Python Bash etc.).

• Database Administration
• SQL & Query Optimization
• Data Warehousing
• ETL Development & Data Integration
• Performance Tuning
• Data Governance & Security
• Problem Solving and Analytical Thinking