High Salary Database Administrator, Snowflake

4 weeks ago

Bengaluru, Karnataka, India Zeta Global Full time
Job Description

Key Responsibilities

- Administer and manage Snowflake cloud data warehouse environments, including provisioning, configuration,

monitoring, and maintenance.

- Implement security policies, compliance, and access controls.
- Manage Snowflake accounts and databases in a multi-tenant environment.
- Monitor the systems and provide proactive solutions to ensure high availability and reliability.
- Monitor and manage Snowflake costs.
- Collaborate with developers, support engineers and business stakeholders to ensure efficient data integration.
- Automate database management tasks and procedures to improve operational efficiency.
- Stay up to date with the latest Snowflake features, best practices, and industry trends to enhance the overall

data architecture

- Develop and maintain documentation, including database configurations, processes, and standard operating

procedures.

- Support disaster recovery and business continuity planning for Snowflake environments.

Required Qualifications

- Bachelor's degree in computer science, Information Technology, or a related field.
- 5+ years of experience in Snowflake operations and administration.
- Strong knowledge of SQL, query optimization, and performance tuning techniques.
- Experience in managing security, access controls, and data governance in Snowflake.
- Familiarity with AWS.
- Proficiency in Python or Bash.
- Experience in automating database tasks using Terraform, CloudFormation, or similar tools.
- Understanding of data modeling concepts and experience working with structured and semi-structured data

(JSON, Avro, Parquet).

- Strong analytical, problem-solving, and troubleshooting skills.
- Excellent communication and collaboration abilities.

Preferred Qualifications

- Snowflake certification (e.g., SnowPro Core, SnowPro Advanced: Architect, Administrator).
- Experience with CI/CD pipelines and DevOps practices for database management.
- Knowledge of machine learning and analytics workflows within Snowflake.
- Hands-on experience with data streaming technologies (Kafka, AWS Kinesis, etc.).

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