Job Description

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.

Key Responsibilities

• 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.

Requirements

• Bachelors degree in Computer Science, Information Technology, or a related field
• 3–5 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.

Preferred Qualifications

• 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.)

Key Skills

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