Nexstratus Inc.
We are seeking a Database Engineer to design, optimize, and maintain the critical database infrastructure that powers NexusAI. This role focuses on building highly performant, scalable, and reliable databases that support real-time analytics, AI/ML model deployment, and seamless integrations with enterprise systems such as TMS, WMS, and ERP.
Key Responsibilities
Design and implement relational and non-relational database systems to support NexusAIs data needs, ensuring scalability and performance across large datasets. Develop and maintain data models that enable real-time analytics, AI predictions, and Digital Twin functionality. Architect robust ETL pipelines for ingesting, transforming, and storing structured and unstructured data from diverse sources. Performance Tuning & Optimization Optimize database queries, indexes, and schema design to ensure low-latency and high-throughput performance. Implement partitioning, sharding, and caching strategies to efficiently handle massive data volumes. Monitor and troubleshoot database performance, identifying and resolving bottlenecks in real time. Data Management & Integration Integrate data from TMS, WMS, ERP, and third-party systems into centralized data warehouses and data lakes. Collaborate with data scientists and ML engineers to structure datasets for AI/ML model training and real-time decision-making. Manage data pipelines for streaming and batch processing, ensuring accuracy and consistency of data across the platform. Database Administration Implement best practices for data security, governance, and disaster recovery in line with enterprise-grade standards. Ensure compliance with data privacy regulations (e.g., HIPAA, GDPR) for sensitive datasets. Perform routine database maintenance, including backups, updates, and version control. Work closely with software engineers, data scientists, and DevOps teams to align database architecture with application requirements. Support the deployment of real-time dashboards, data visualizations, and predictive models by ensuring data availability and reliability. Document database designs, processes, and workflows to enable knowledge sharing across the team. Evaluate and implement emerging database technologies, tools, and frameworks to enhance platform capabilities. Continuously optimize database systems to meet growing data demands and evolving business needs. Qualifications
Required: Bachelors degree in Computer Science, Information Systems, or a related technical field. 5+ years of experience designing, developing, and managing large-scale databases for enterprise applications. Expertise in SQL-based relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB). Strong experience building and managing data pipelines for ETL processes. Proficiency in query optimization, indexing, and performance tuning for large, complex datasets. Hands-on experience with cloud database services (AWS RDS, Aurora, Redshift, Azure SQL, Google BigQuery). Knowledge of data warehousing and data lake architectures for scalable analytics. Solid understanding of data security, governance, and backup/recovery best practices. Preferred: Experience with big data frameworks (e.g., Apache Spark, Hadoop, Kafka) for real-time data processing. Familiarity with enterprise systems like TMS, WMS, and ERP, and integrating these into centralized databases. Knowledge of AI/ML pipelines and structuring data for model development and real-time predictions. Experience working in a SaaS environment with multi-tenant architectures. Understanding of regulatory compliance standards such as HIPAA (for healthcare) and GDPR. Why Join NexStratus?
Gain hands-on experience in consulting with exposure to diverse projects and clients. Be part of a forward-thinking team that values creativity, collaboration, and continuous improvement. Enjoy opportunities for career advancement and professional growth in a fast-paced industry. How to Apply?
Interested candidates are invited to submit their resume and a cover letter detailing their experience and why they are the ideal fit for this role to learnmore @nexstratus.com . NexStratus is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr
Design and implement relational and non-relational database systems to support NexusAIs data needs, ensuring scalability and performance across large datasets. Develop and maintain data models that enable real-time analytics, AI predictions, and Digital Twin functionality. Architect robust ETL pipelines for ingesting, transforming, and storing structured and unstructured data from diverse sources. Performance Tuning & Optimization Optimize database queries, indexes, and schema design to ensure low-latency and high-throughput performance. Implement partitioning, sharding, and caching strategies to efficiently handle massive data volumes. Monitor and troubleshoot database performance, identifying and resolving bottlenecks in real time. Data Management & Integration Integrate data from TMS, WMS, ERP, and third-party systems into centralized data warehouses and data lakes. Collaborate with data scientists and ML engineers to structure datasets for AI/ML model training and real-time decision-making. Manage data pipelines for streaming and batch processing, ensuring accuracy and consistency of data across the platform. Database Administration Implement best practices for data security, governance, and disaster recovery in line with enterprise-grade standards. Ensure compliance with data privacy regulations (e.g., HIPAA, GDPR) for sensitive datasets. Perform routine database maintenance, including backups, updates, and version control. Work closely with software engineers, data scientists, and DevOps teams to align database architecture with application requirements. Support the deployment of real-time dashboards, data visualizations, and predictive models by ensuring data availability and reliability. Document database designs, processes, and workflows to enable knowledge sharing across the team. Evaluate and implement emerging database technologies, tools, and frameworks to enhance platform capabilities. Continuously optimize database systems to meet growing data demands and evolving business needs. Qualifications
Required: Bachelors degree in Computer Science, Information Systems, or a related technical field. 5+ years of experience designing, developing, and managing large-scale databases for enterprise applications. Expertise in SQL-based relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB). Strong experience building and managing data pipelines for ETL processes. Proficiency in query optimization, indexing, and performance tuning for large, complex datasets. Hands-on experience with cloud database services (AWS RDS, Aurora, Redshift, Azure SQL, Google BigQuery). Knowledge of data warehousing and data lake architectures for scalable analytics. Solid understanding of data security, governance, and backup/recovery best practices. Preferred: Experience with big data frameworks (e.g., Apache Spark, Hadoop, Kafka) for real-time data processing. Familiarity with enterprise systems like TMS, WMS, and ERP, and integrating these into centralized databases. Knowledge of AI/ML pipelines and structuring data for model development and real-time predictions. Experience working in a SaaS environment with multi-tenant architectures. Understanding of regulatory compliance standards such as HIPAA (for healthcare) and GDPR. Why Join NexStratus?
Gain hands-on experience in consulting with exposure to diverse projects and clients. Be part of a forward-thinking team that values creativity, collaboration, and continuous improvement. Enjoy opportunities for career advancement and professional growth in a fast-paced industry. How to Apply?
Interested candidates are invited to submit their resume and a cover letter detailing their experience and why they are the ideal fit for this role to learnmore @nexstratus.com . NexStratus is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr