Location: San Jose, CA (Onsite)
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Must-Have
1. Database Installation and Configuration: Installing, configuring, and upgrading Teradata database systems, including software and utilities.
2. User and Security Management: Creating and managing user accounts, roles, profiles, and basic access privileges to control database access.
3. Backup and Recovery Operations: Performing routine data backups, managing recovery processes, and ensuring data integrity and availability.
4. System Monitoring and Alerting: Monitoring database health, performance metrics (CPU, I/O, space), and setting up alerts for potential issues.
5. Basic Troubleshooting: Diagnosing and resolving common database-related problems, such as connectivity issues, space constraints, or failed jobs.
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Advanced Responsibilities:
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6. Performance Tuning and Optimization: Deep-diving into SQL query optimization, analyzing explain plans, and implementing advanced techniques (e.g., join indexes, partitioning) to enhance system performance.
7. Workload Management (TWM/TDWM): Designing, configuring, and managing Teradata Workload Manager rules to prioritize queries, manage concurrency, and ensure service level agreements (SLAs).
9. Disaster Recovery Planning and Testing: Developing, documenting, and regularly testing comprehensive disaster recovery strategies to ensure business continuity in the event of a major outage.
10. Advanced Security and Compliance: Implementing advanced security features (e.g., encryption, auditing, row-level security), ensuring compliance with data governance policies, and conducting security audits.
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Good-to-Have
1. Proficiency in Scripting Languages (e.g., Python, Shell Scripting): While automation was mentioned, advanced scripting skills allow for more sophisticated custom monitoring, reporting, and proactive problem-solving beyond standard tools.
2. Cloud Platform Familiarity (e.g., AWS, Azure, Google Cloud): With Teradata Vantage often deployed on cloud platforms, understanding cloud infrastructure, networking, and security concepts within these environments is increasingly valuable.
3. Strong Data Warehousing and ETL Concepts: A deeper understanding of the entire data lifecycle, including data ingestion (ETL/ELT processes), data modeling methodologies (e.g., Dimensional Modeling), and data governance, helps in optimizing the database for its intended use.
4. Excellent Communication and Collaboration Skills: The ability to effectively communicate complex technical issues to non-technical stakeholders, work seamlessly with development teams, and provide clear documentation is crucial for project success.
5. Version Control System Experience (e.g., Git): Managing database scripts, configuration files, and automation code using version control systems ensures proper tracking, collaboration, and rollback capabilities for changes.
Regards
Rajat Arora
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