2046 Cassandra Jobs - Page 5

Job Summary Works with product teams, analysts and other engineers to design systems and application software, and mentor junior members of the team. Responsibilities Requirements Analysis Understands, reads, and reviews requirements Works with Business Analysts to understand business requirements Software Architecture Participates in architectural review process Software Design Leads Features and multiple module designs Provides technical leadership to the team Evaluates and recommends adoption of open source Development/Coding Develops backend services using Java Spring Boot, REST APIs, and integrates with SQL and NoSQL databases Implements responsive front-end interfaces using React, Redu...

Your Impact In this role, you will build scalable data solutions, integrating diverse datasets for actionable insights. Your role involves transforming raw data, designing efficient models, and optimizing performance. Ensuring data quality and integrity, you'll collaborate with teams to meet analytical needs. Key Responsibilities Work closely with product owners and other team members to align solution designs with the project objective and architectural principles. Review internal and external business and product requirements for data operations and activity and suggest changes and upgrades to systems and storage to accommodate ongoing needs Create documents, diagrams, and presentations to...

About The Role Project Role Application Lead Project Role Description Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills Java Full Stack Development Good to have skills NA Minimum 5 year(s) of experience is required Educational Qualification 15 years full time education Summary As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will al...

About The Role Job Title - Cloud DevOps Engineer - L2 Sr. Analyst ACS/Accenture Song Management Level - Level Sr Analyst LocationKochi Must have skillsManaging Linux Systems Good to have skillsSQL/No SQL Experience3.5-5 years of experience is required Educational QualificationGraduation (Accurate educational details should capture) Job Summary As a Sr. DevOps engineer, you will be operating an e-commerce solution built over on-prem and cloud infrastructure. You will be involved in maintaining and improving the clients business platforms. You will be responsible for the site reliability and platform stability. You will be expected to respond to incidents, support on problems, execute changes ...

You Lead the Way. We ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you ll learn and grow as we help you create a career journey that s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uph...

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. Mandatory Key SkillsSQL,Python,data warehousing,etl,amazon redshift,bigquery,data engineering,AWS,machine learning,real-time data processing,Java,spring boot,microservices,spark,Kafka,Cassandra,Scala,NoSQL,mongodb,Redis,data architecture*

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 Mandatory Key Skillspython,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest...

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. Mandatory Key SkillsData analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture*

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 Mandatory Key SkillsPython,AWS Redshift,Google BigQuery,ETL pipelines,data warehousing,data architectures,SQL*

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 Mandatory Key SkillsETL pipelines,data warehouses,SQL,Python,AWS Redshift,Google BigQuery,ETL*

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. Mandatory Key Skills Data analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture*

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. Mandatory Key Skills - sql,python,data warehousing,etl,amazon redshift,Data Engineering.

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 Mandatory Key Skillspython,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest...

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. Mandatory Key Skills ETL pipelines,data warehouses,SQL,Python,cloud data platforms,AWS Redshift,Google BigQuery,machine learning models,Data Engineering

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. Mandatory Key Skills ETL pipelines,data warehouses,SQL,Python,cloud data platforms,AWS Redshift,Google BigQuery,machine learning models,Data Engineering.

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. Mandatory Key Skills SQL,Python,AWS Redshift,Google BigQuery,machine learning models,ETL,data architectures,Data engineering.

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. Mandatory Key Skills Data analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture

Job DescriptionDesign 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.KeywordsSQL,Python,AWS Redshift,Google BigQuery,machine learning models,ETL,data architectures,Data engineering*

Job Description 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 KeywordsPython,AWS Redshift,Google BigQuery,ETL pipelines,data warehousing,data architectures,SQL*

Job DescriptionDesign 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.Keywordssql,python,data warehousing,etl,amazon redshift,Data Engineering*

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 Keywords python,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest,redis,SQL*

Job Summary Member of a software engineering team involved in development & design of AI Data Platform built on NetApp’s flagship storage operating ONTAP. ONTAP is a feature rich stack with its rich data management capabilities that has tremendous value to our customers and are used in mission critical applications across the world. You will work as part of a team responsible for the development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud and on-premises solutions. As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, supportability, technology advances, product quality, p...

As an experienced Senior DevOps professional, you will be responsible for designing, automating, and managing end-to-end DevOps workflows across cloud and on-prem environments. Your expertise in CI/CD, containerization, orchestration, monitoring, messaging systems, databases, and security will play a crucial role in the success of the organization. Key Responsibilities: - Build and manage CI/CD pipelines using Azure DevOps. - Containerize and deploy applications with Docker and Kubernetes. - Manage messaging systems such as Kafka and RabbitMQ, along with data stores like MongoDB, Cassandra, and Redis. - Implement security measures using HashiCorp Vault. - Set up monitoring solutions utilizin...

As a Data Engineering Team Lead, your role involves leading and mentoring a team of data engineers to ensure high performance and career growth. You will be responsible for architecting and optimizing scalable data infrastructure to ensure high availability and reliability. Additionally, you will drive the development and implementation of data governance frameworks and best practices while working closely with cross-functional teams to define and execute a data roadmap. Your tasks will also include optimizing data processing workflows for performance and cost efficiency, as well as ensuring data security, compliance, and quality across all data platforms. It is crucial to foster a culture o...

As a Quality Data Architect and Data Engineering Manager/Director, your role will involve leading and mentoring a team of data engineers to ensure high performance and career growth. You will be responsible for architecting and optimizing scalable data infrastructure for high availability and reliability. Additionally, you will drive the development and implementation of data governance frameworks and best practices, working closely with cross-functional teams to define and execute a data roadmap. Your responsibilities will also include optimizing data processing workflows for performance and cost efficiency, ensuring data security, compliance, and quality across all data platforms, and fost...