AWS RedShift Administrator job vacancy

Vacancy expired!

Tasks completed on a daily, weekly, monthly or annual basis, project assigned

Deploy and manage Redshift data warehouses in Amazon Web Services (AWS) cloud environment.
Perform Redshift data warehouse maintenance, optimization, and configuration tuning in AWS cloud environment.
Automate provisioning, operation, monitoring, and troubleshooting of Redshift data warehouses in AWS cloud environment.
Perform Disaster Recovery (DR) planning and execution in accordance with RPO/RTO and defined SLAs.
Provide support and guidance to project and application support teams
Maintain and support Redshift data Warehouses
Monitor and troubleshoot Redshift platform issues and performance tuning
Support security policies, documentation and compliance
Document processes and policies for Redshift Administration and support activities
Work with end users to identify and resolve issues
Work with vendors to resolve issues as needed
Provide governance and support to project teams
Evaluate and recommend emerging technologies for cloud data warehouse management and big data workloads.
Create and maintain current and target state cloud database and big data architectures.
Define and manage cloud data warehouse and big data technology standards, guidelines, and processes to ensure data quality.
Ensure cloud data warehouse and big data technology solutions are in alignment with data architecture principles and target state.

Knowledge, skills, abilities, traits, certifications, years of experience, to successfully perform job function

8+ years managing enterprise level database and data warehouse environments along with data modelling and data analysis.
8+ years of experience developing Data Warehousing reference architecture, principles and standards.
8+ years of experience with relational database technologies and administration (SQL, Oracle, Hadoop, Teradata, etc.).
5+ years of experience with Redshift database administration and data modelling (performance tuning, indexing and database/query optimization for high-speed big data consumption).
5+ years of experience working with AWS services for large datasets (EMR, S3, CLI, CloudWatch, RDS, DynamoDB, etc.).
5+ years of experience with ETL, data integration, and other business intelligence tools like Informatica, Power BI, Tableau, etc.
3+ years of experience with PostgreSQL database administration and data modelling.
2+ years of experience with Python scripting and ID federation.
Desired Certifications: AWS Certified Data Analytics-Specialty, AWS Certified Solutions Architect-Professional, AWS Certified Database-Specialty, AWS Certified Cloud Practitioner, AWS Certified Machine Learning-Specialty.