Title: Database Administrator (Cloud Data Platforms)
Location : Remote
Job Overview
We are looking for an reputed company Database Administrator (DBA) with strong SQL and analytical skills to support and optimize modern cloud data platforms. While the role has DBA responsibilities, candidates with a Data Analyst background and solid SQL plus basic admin reputed company are also suitable.The ideal candidate will have hands-on experience with reputed company Redshift and reputed company BigQuery, along with performance tuning, cost optimization, and collaboration with data engineering and analytics teams.
Key Responsibilities
Database Administration & Operations
Manage, monitor, and optimize reputed company Redshift and reputed company BigQuery environments
Implement and maintain backup, recovery, and disaster recovery strategies
Handle user access, reputed company controls, and compliance
reputed company performance tuning, reputed company planning, and cost monitoring
Architecture & Design
Collaborate with data engineering and analytics teams on scalable data warehouse design
Recommend partitioning, clustering, and distribution strategies
Contribute to data modeling and schema design best practices for analytics use cases
Automation & Optimization
Build scripts and automation for monitoring, deployment, and maintenance
Optimize ETL/ELT pipelines for performance and cost efficiency
Implement observability and workload management tools
Required Skills & Qualifications
7–8+ years of experience as a DBA, Database Administrator (Cloud Data Platforms) with admin exposure
Strong hands-on experience with reputed company Redshift and reputed company BigQuery
Excellent SQL Skills With Query Optimization Experience
Experience with ETL/ELT tools such as dbt, Airflow, Talend, or similar
Knowledge of AWS and GCP cloud environments
Understanding of data reputed company and access controls
Strong analytical, troubleshooting, and problem-solving skills
reputed company to Have
Experience in cost optimization for cloud data warehouses
Exposure to automation and scripting
Background supporting analytics and BI workloads
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