1715 Nosql Jobs - Page 18

Design and optimize enterprise database systems to ensure scalability and security. Oversee database architecture, performance tuning, and cloud-based DBMS implementation. Must have expertise in SQL, NoSQL, and database optimization techniques. Collaborate with developers and data engineers to maintain high-performance data pipelines. Strong knowledge of AWS, Azure, or Google Cloud is required. Experience in managing large-scale database environments is preferred.

Design and optimize enterprise database systems to ensure scalability and security Oversee database architecture, performance tuning, and cloud-based DBMS implementation Must have expertise in SQL, NoSQL, and database optimization techniques Collaborate with developers and data engineers to maintain high-performance data pipelines Strong knowledge of AWS, Azure, or Google Cloud is required Experience in managing large-scale database environments is preferred

Design and optimize enterprise database systems to ensure scalability and security. Oversee database architecture, performance tuning, and cloud-based DBMS implementation. Must have expertise in SQL, NoSQL, and database optimization techniques. Collaborate with developers and data engineers to maintain high-performance data pipelines. Strong knowledge of AWS, Azure, or Google Cloud is required. Experience in managing large-scale database environments is preferred.

Design and optimize enterprise database systems to ensure scalability and security. Oversee database architecture, performance tuning, and cloud-based DBMS implementation. Must have expertise in SQL, NoSQL, and database optimization techniques. Collaborate with developers and data engineers to maintain high-performance data pipelines. Strong knowledge of AWS, Azure, or Google Cloud is required. Experience in managing large-scale database environments is preferred.

Design and optimize enterprise database systems to ensure scalability and security Oversee database architecture, performance tuning, and cloud-based DBMS implementation Must have expertise in SQL, NoSQL, and database optimization techniques Collaborate with developers and data engineers to maintain high-performance data pipelines Strong knowledge of AWS, Azure, or Google Cloud is required Experience in managing large-scale database environments is preferred

Design and optimize enterprise database systems to ensure scalability and security. Oversee database architecture, performance tuning, and cloud-based DBMS implementation. Must have expertise in SQL, NoSQL, and database optimization techniques. Collaborate with developers and data engineers to maintain high-performance data pipelines. Strong knowledge of AWS, Azure, or Google Cloud is required. Experience in managing large-scale database environments is preferred.

Design and optimize enterprise database systems to ensure scalability and security. Oversee database architecture, performance tuning, and cloud-based DBMS implementation. Must have expertise in SQL, NoSQL, and database optimization techniques. Collaborate with developers and data engineers to maintain high-performance data pipelines. Strong knowledge of AWS, Azure, or Google Cloud is required. Experience in managing large-scale database environments is preferred.

Design and optimize enterprise database systems to ensure scalability and security Oversee database architecture, performance tuning, and cloud-based DBMS implementation Must have expertise in SQL, NoSQL, and database optimization techniques Collaborate with developers and data engineers to maintain high-performance data pipelines Strong knowledge of AWS, Azure, or Google Cloud is required Experience in managing large-scale database environments is preferred

Design and optimize enterprise database systems to ensure scalability and security Oversee database architecture, performance tuning, and cloud-based DBMS implementation Must have expertise in SQL, NoSQL, and database optimization techniques Collaborate with developers and data engineers to maintain high-performance data pipelines Strong knowledge of AWS, Azure, or Google Cloud is required Experience in managing large-scale database environments is preferred

Design and optimize enterprise database systems to ensure scalability and security. Oversee database architecture, performance tuning, and cloud-based DBMS implementation. Must have expertise in SQL, NoSQL, and database optimization techniques. Collaborate with developers and data engineers to maintain high-performance data pipelines. Strong knowledge of AWS, Azure, or Google Cloud is required. Experience in managing large-scale database environments is preferred.

Design and optimize enterprise database systems to ensure scalability and security Oversee database architecture, performance tuning, and cloud-based DBMS implementation Must have expertise in SQL, NoSQL, and database optimization techniques Collaborate with developers and data engineers to maintain high-performance data pipelines Strong knowledge of AWS, Azure, or Google Cloud is required Experience in managing large-scale database environments is preferred

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.

Role : Technical Lead / Sr. Full Stack Developer / Full Stack Developer (Backend, Database & Frontend) - Global Digital Health Startup. Job Location : Delhi NCR, India.At our Global HQ, Global Technology Development Center & Global R&D & AI Health Innovation Center, Delhi NCR, India. Job Description : Role & Responsibility :- Single-handed hands-on MultiHat Role-on Full Stack Developer (Backend, Database, and Frontend development ) with end-to-end Backend development, DBMS, B2B & B2B2C SaaS Cloud Platform Maintenence, server-side, client-side to build from Scratch a Highly Scalable Digital Health Platform or an E Commerce Platform. - Full Stack Developers will be required to see out a projec...

Role : Technical Lead / Sr. Full Stack Developer / Full Stack Developer (Backend, Database & Frontend) - Global Digital Health Startup. Job Location : Delhi NCR, India.At our Global HQ, Global Technology Development Center & Global R&D & AI Health Innovation Center, Delhi NCR, India. Job Description : Role & Responsibility :- Single-handed hands-on MultiHat Role-on Full Stack Developer (Backend, Database, and Frontend development ) with end-to-end Backend development, DBMS, B2B & B2B2C SaaS Cloud Platform Maintenence, server-side, client-side to build from Scratch a Highly Scalable Digital Health Platform or an E Commerce Platform. - Full Stack Developers will be required to see out a projec...

Role : Technical Lead / Sr. Full Stack Developer / Full Stack Developer (Backend, Database & Frontend) - Global Digital Health Startup. Job Location : Delhi NCR, India.At our Global HQ, Global Technology Development Center & Global R&D & AI Health Innovation Center, Delhi NCR, India. Job Description : Role & Responsibility :- Single-handed hands-on MultiHat Role-on Full Stack Developer (Backend, Database, and Frontend development ) with end-to-end Backend development, DBMS, B2B & B2B2C SaaS Cloud Platform Maintenence, server-side, client-side to build from Scratch a Highly Scalable Digital Health Platform or an E Commerce Platform. - Full Stack Developers will be required to see out a projec...

Role : Technical Lead / Sr. Full Stack Developer / Full Stack Developer (Backend, Database & Frontend) - Global Digital Health Startup. Job Location : Delhi NCR, India.At our Global HQ, Global Technology Development Center & Global R&D & AI Health Innovation Center, Delhi NCR, India. Job Description : Role & Responsibility :- Single-handed hands-on MultiHat Role-on Full Stack Developer (Backend, Database, and Frontend development ) with end-to-end Backend development, DBMS, B2B & B2B2C SaaS Cloud Platform Maintenence, server-side, client-side to build from Scratch a Highly Scalable Digital Health Platform or an E Commerce Platform. - Full Stack Developers will be required to see out a projec...

Role Description: We are looking for an Associate Data Engineer in RunOps which needs 24X7 support with deep expertise in managing data pipelines to build scalable, high-performance data solutions. The ideal candidate will be responsible for maintaining complex data pipelines, integration frameworks, and metadata-driven architectures that enable seamless access and analytics. This role prefers deep understanding of the big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Data Engineer who owns maintenance of complex ETL/ELT data pipelines to pr...

Chief Technology Officer/ VP / AVP (Software Engineering and Product Development) - Digital Health Global Tech Startup. Joining : Immediately. Job Location : Delhi NCR, India. Benovymed Global HQ : Benovymed Global Technology Development & Innovation Center and Benovymed Global R and D, and AI Health Innovation Center in Gurgaon ( Delhi NCR), India. Responsibility and Role : 1. Mandatory Role and Responsibility : If you match the criteria below then only you apply. - You should be strong and capable enough as a doer end-to-end - Hands-on with skillsets as a Strong Full Stack Software Developer ( Backend Development and with Frontend Development), also a Technology Architect and Software Engi...