MS SQL + MongoDB + AWS

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 week ago
9-14 years
Gurugram, Haryana
work from office

Posted: 1 week ago
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Applicants: 149+
Job Description
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Job Description

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

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  • 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

Skills

Data ArchitectureData IntegrationEtlImplementationReporting And AnalyticsAnalyticsSql

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Important dates & deadlines?

Application Deadline

04 Apr 26, 03:38 PM IST

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MS SQL + MongoDB + AWS

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