Job OverviewWe 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 ResponsibilitiesInstall, 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.RequirementsBachelors 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 QualificationsExperience 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 SkillsDatabase AdministrationSQL & Query OptimizationData WarehousingETL Development & Data IntegrationPerformance TuningData Governance & SecurityProblem Solving and Analytical Thinking