Job Description

LOCATION: Owens Asia Private Limited is located at https://goo.gl/maps/LEPmGwsZsNjTxmNX6 JOB DESCRIPTION:

• The Database Architect is a full-time position, responsible for ensuring the design, development, integrity, and security of the organization\'s development and production databases.

JOB RESPONSIBILITIES:

• Collaborate with Systems architects, Security architects, Business Owners, and Business Analysts to understand business requirements.
• Develop and document database architectural strategies at the modeling, design, and implementation stages to address business requirements.
• Design and document databases to support business applications, ensuring system scalability, security, efficiency, compliance, performance, and reliability.
• Design innovative data services solutions, based on AI (artificial intelligence) and ML (machine learning), such as virtual agents, and text analytics, capable of doing real-time analysis of big data while complying with all applicable data security and privacy requirements such as GDPR.

JOB REQUIREMENTS: Minimum Requirements:

• Excellent analytical and problem-solving skills, ability to understand complex problems, and to generate appropriate technical solutions.
• Extensive knowledge of AI and ML technology frameworks and solutions.
• Knowledge of different data security standards (e.g. ISO27K) and regulatory requirements (e.g. PCI-DSS, GDPR, HIPAA.)
• Excellent skills in MongoDB and MySQL/MariaDB, preferably in a UNIX/Linux environment.
• Knowledge of database modeling and optimization techniques. Must be able to map business requirements to database models/ERD.
• At least 3 years of experience in handling database server security implementation, high-availability solutions, backup & recovery, performance tuning & monitoring, capacity planning, mirroring, and clustering.

Desired Skills:

• Maintain database development guidelines and standards.
• Knowledge of Reporting/Business Intelligence databases and tools.

Skills:

• Data visualization, data migration, and data modeling. 
• DBMS software, including SQL Server. 
• Database and cloud computing design, architectures, and data lakes. 
• Relational database management systems. 
• Hadoop technologies like Pig, Hive, and MapReduce.  
• Applied mathematics and statistics. 
• Microsoft SQL Server, Oracle Database, MySQL, PostgreSQL, and IBM Db2.

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