MS SQL + MongoDB + AWS

Key Responsibilities:

•             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.

Key Skills:

•             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.

Qualifications:

•             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