Data Architect

Description:

• Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, MongoDB).
• Familiarity with cloud services (AWS, Azure, GCP).
• Knowledge of scripting languages (e.g., Python, Bash).
• Expertise in data modeling, ETL processes, and data integration techniques.
• Experience with database tuning, performance optimization, and scalability.
• Strong understanding of data warehousing concepts and best practices.
• Hands-on experience with big data technologies (e.g., Hadoop, Spark).
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data governance and data quality frameworks.
• Experience with data security and encryption methods.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Proficiency in NoSQL databases (e.g., Cassandra, Couchbase).
• Experience with in-memory data stores (e.g., Redis, Memcached).
• Familiarity with database replication, clustering, and high availability configurations.
• Knowledge of database backup, recovery, and disaster recovery strategies.
• Experience with automated database deployment and management tools (e.g., Flyway, Liquibase).