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Must have 5-8 years of experience.
Design, develop, and maintain scalable and high-performance MongoDB databases and schemas.
Build and optimize SQL Server (MS SQL) databases including stored procedures, triggers, indexing, and performance tuning.
Develop Python scripts and utilities for data processing, ETL pipelines, and database automation tasks.
Collaborate with data engineers and analysts to build robust data pipelines that support analytical and operational workloads.
Perform data migration and integration between different database platforms.
Monitor and troubleshoot database performance, availability, and integrity issues.
Ensure security, backup, and disaster recovery strategies for all data systems.
Stay updated with best practices in MongoDB schema design, indexing, and aggregation frameworks.
Contribute to data governance, quality, and documentation efforts.
Additional Job Description
Strong communication skills, both written and verbal, for interacting with customers and internal teams.
Ability to work effectively under pressure and manage multiple tasks simultaneously.
EEO Statement