MS SQL + MongoDB + AWS

• Design and implement high-performance database configurations using Microsoft SQL Server and MongoDB.

• Develop and manage ETL processes with SaaS services, data lakes, and data sources such as Dremio and Databricks.

• Collaborate with reporting and analytics teams to integrate systems like Power BI, Qlik, and Crystal Reports.

• Provide strategic direction for long-term data strategy and architecture.

• Understand and implement AWS cloud services related to database management.

• Identify and implement performance fixes and scalability solutions for existing systems.

• Troubleshoot and resolve performance issues in database systems.

• Develop and maintain data schemas while ensuring compliance with ACID rules.

• Lead hands-on implementation of both SQL Server and MongoDB.

• Optimize system performance and provide recommendations for improvements.

• Understand and implement PaaS, SaaS, and IaaS solutions in both on-premises and cloud environments.

• Manage security, user roles, and access controls within database systems.

• Provide guidance and direction to teams on data strategy and architecture best practices.

• Re-engineer existing databases based on load requirements and implement performance improvements.

• Document database designs, ER diagrams and publish functional domain documentation.

• Microsoft SQL Server Expertise:

• Proficient in writing and optimizing stored procedures, triggers, and complex queries.

• Strong understanding of indexes and their impact on performance.

• Ability to analyze and optimize execution plans for query performance.

• Experience in high-performance schema design using both bottom-up and top-down approaches.

• Database Design and Performance:

• Expertise in re-engineering existing databases to enhance performance based on load analysis.

• Strong understanding of data schema design and ACID principles.

• Hands-on experience with SQL and NoSQL database implementations, particularly with MongoDB.

• Good understanding with security best practices and user management in database systems.

• Cloud and Integration:

• Good understanding of AWS cloud services related to database management.

• Experience with PaaS, SaaS, and IaaS concepts in both on-premises and cloud environments.

• 9-14 years of experience in data architecture, database design, and implementation.

• Strong experience with ETL processes and data integration using SaaS services.

• Proficiency in reporting and analytics tools such as Power BI, Qlik, and Crystal Reports.

• Strategic mindset with the ability to develop and execute long-term data strategies.

• Excellent communication and leadership skills, with the ability to direct teams effectively

Talent Worx