909 Nosql Databases Jobs - Page 36

About this role: Wells Fargo is seeking a Senior Software Engineer In this role, you will: Work as a full stack software developer for a large complex enterprise scale application Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Lead moderately complex initiatives and deliverables within technical domain environments You would lead design and development of applications. Fix issues and implement new functionality/changes. Working on latest technologies to build next generation onboarding systems Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 4+ years of Software Engineering experience including hands-on experience with application development using Java and distributed technologies both on-premises and cloud. Strong in Java/JEE, Spring framework, JavaScript, RESTful web services Sound knowledge of UI frameworks like Strong understanding of microservices and associated design patterns Experience with latest unit testing tools including Junit Experience with best-in-class version control tools like GitHub Experience with build tools like Maven or Gradle Working knowledge of both SQL and NoSQL databases Knowledge on messaging systems like MQ, Solace, Kafka Knowledge on OpenShift or any Kubernetes containerization platform Experience in identifying and remediating security vulnerabilities Should be well versed with test driven development and be knowledgeable on associated tools and practices Experience with working with globally distributed teams in working in Agile scrums Strong verbal and written communication skills Job Expectations: Domain knowledge in home lending or consumer lending space. Well versed in DevOps concepts Aware of cloud native application development best practices and design patterns

We are seeking a Generative AI Engineer with 3-5 years of experience with strong background in developing agentic architectures and experience with various frameworks and observability tools relevant to generative AI applications. This role demands proficiency in Python, deployment experience, and familiarity with Retrieval-Augmented Generation (RAG) applications. Responsibilities Design, develop, and implement agentic architecture for generative AI systems. Utilize frameworks such as Langchain, to enhance application performance and monitoring. Collaborate with cross-functional teams to build and deploy generative AI solutions that address business needs. Develop, test, and maintain agentic RAG applications, ensuring high performance and reliability. Develop, test, and maintain backend services and APIs using Python frameworks Experience in deploying machine learning models in production environments. Design and implement robust testing frameworks to assess model performance, including precision, recall, and other key performance indicators (KPIs). Continuously improve algorithms for accuracy, speed, and robustness in real-time. Stay updated with the latest advancements in generative AI technologies and methodologies to implement innovative solutions. Document processes, architectures, and code to ensure maintainability and knowledge sharing. Required Skills Technical Skills: Proficient in Python programming language in developing, training and evaluating deep learning models. Hands-on experience with frameworks like Langchain and Langraph. Version Control Systems: GIT, GitHub FastAPI, Flask, or Django REST Framework. Conduct evaluations of chat applications to assess effectiveness and user experience. Knowledge of various RAG applications and their implementation. Containerization and Orchestration: Docker and Kubernetes. Work with relational databases (PostgreSQL/MySQL) and NoSQL databases (MongoDB/Cassandra). Develop both synchronous (REST, gRPC) and asynchronous communication channels (using message brokers like RabbitMQ or Kafka). Experience: Minimum of 3 years of experience in software engineering or related fields. Proven track record of developing generative AI applications. Experience in evaluating chat applications for functionality and user engagement. Soft Skills: Strong analytical and problem-solving skills. Excellent communication skills for collaboration with team members and stakeholders. Ability to work independently as well as part of a team in a fast-paced environment.

locationsIN - Bangalore posted onPosted 30+ Days Ago job requisition idR125689 A.P. Moller - Maersk Founded in 1904, A.P. Moller - Maersk is an integrated container logistics company working to connect and simplify its customers supply chains. As the global leader in shipping services, the company operates in 130 countries and employs roughly 76,000 people, with the Headquarters in Copenhagen, Denmark. With simple end-to-end offering of products and digital services, seamless customer engagement and a superior end-to-end delivery network, Maersk enables its customers to trade and grow by transporting goods anywhere - all over the world. JD Full Stack Developer Key Responsibilities Provide design validation on key technologies in API development Building software in accordance with the standards and guidelines Responsible for the Product design and implementation (focus on quality, supportability, maintainability, scalability, performance, security) Providing expertise and support in building Microservices/serverless architecture-based applications Ensuring builds are kept green and the code management strategy (branching) is closely followed. Raising capability and standards within team; pairing on tasks, peer review of team members code and constructive feedback for improvement in both the code base and team capability (blame free feedback etc.) Proactive contribution to continual improvements within your team through both active participation in retrospective and from engagement with cross team best-practice communities Advisory to Product Owners/Leaders to identify and manage risks, Tech debt issues and opportunities for the technical improvement Provide technical support & guidance across phases of SDLC Providing continuous improvement suggestions in internal code frameworks, best practices and guidelines We are looking for We are looking for full-stack Senior Software Engineers with expertise in Solution Design, Java Spring Boot, React.js, APIs, Microservices, Maven, Kafka, and Design Patterns. The ideal candidate should have experience with Azure Cloud, Docker, Kubernetes, CI/CD pipelines and DevOps tools, and be proficient in working with both SQL and NoSQL databases. This role requires the ability to apply best practices in software development, build scalable solutions, manage deployments, mentor team members and collaborate across teams to meet business needs.Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing .

About The Role Core Java 5 years + core java experience essential. Spring experience essential . SQL Server 2y + preferred. Linux preferred Java Springboot Microservices java 8, Spring Boot, Spring Framework, Rest API, SOAP API, JPA Strong experience with Restful/Rest API Working knowledge of ORM Framework (Preferred Hibernate) Understanding of Microservice Architecture and design principles. Sonar/Sonarqube, Veracode and Prisma knowledge is plus Understanding of Docker and Docker Container. Experience with Agile tools & technologies (Scrum, JIRA, and Confluence) Working with NoSQL Databases is a plus Experience with DevOps CICD is preferred. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. About The Role - Grade Specific Core Java 5 years + core java experience essential. Spring experience essential . SQL Server 2y + preferred. Linux preferred Java Springboot Microservices java 8, Spring Boot, Spring Framework, Rest API, SOAP API, JPA Strong experience with Restful/Rest API Working knowledge of ORM Framework (Preferred Hibernate) Understanding of Microservice Architecture and design principles. Sonar/Sonarqube, Veracode and Prisma knowledge is plus Understanding of Docker and Docker Container. Experience with Agile tools & technologies (Scrum, JIRA, and Confluence) Working with NoSQL Databases is a plus Experience with DevOps CICD is preferred. Skills (competencies) Verbal Communication

JAVA DEVELOPER Majorly looking for (Java + Kafka + Couchbase) or (Java + Kafka + MongoDB or any NOSQL Database) Technical Skills Required: Java: Strong understanding of OOP, multithreading, data structures, and design patterns. Kafka: Proficient in designing and building Kafka producers, consumers, and stream processing. Couchbase: Experience with data modeling, indexing, N1QL queries, and XDCR. Spring Boot, REST APIs: Strong experience in developing microServices and APIs. Familiarity with CI/CD tools and containerization (e.g., Docker, Kubernetes). Experience in performance tuning and monitoring of distributed systems. Version control using Git.

AI/ML Developer Position Description: The AI/ML Developer is to develop, train, validate, and deploy AI and ML models that meet the project's analytical needs, ensuring accuracy, scalability, and efficiency. Role & responsibilities Data Processing & Analysis Collect, clean, and preprocess structured and unstructured data. Conduct exploratory data analysis to identify trends and patterns. Model Development Design, train, validate, and fine-tune machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Develop and optimize deep learning architectures for classification, regression, NLP, or computer vision tasks. Deployment & Integration Deploy models using tools like Docker, FastAPI, Flask, or TensorFlow Serving. Integrate models into existing applications, pipelines, or APIs. Implement monitoring and performance evaluation of deployed models. Documentation & Collaboration Write clear and comprehensive documentation for models, data pipelines, and APIs. Work collaboratively with data engineers, software developers, and domain experts to ensure alignment with project objectives. Innovation & Research Stay up to date with the latest AI/ML research and tools. Contribute to prototyping and innovation initiatives within the organization. Deliverables: Clean, well-documented code and model scripts. Trained and validated AI/ML models with performance reports. Data pipelines and preprocessing scripts. Deployment-ready models integrated with APIs or platforms. Monthly progress reports on development and outcomes. Final report with documentation on model architecture, datasets, results, and recommendations. Preferred candidate profile Education: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: Minimum 3 years of experience in machine learning or AI development Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. Experience with data preprocessing, feature engineering, and model evaluation. Experience with cloud services (AWS, Azure, GCP) for AI model deployment, good understanding of data structures, algorithms, and software engineering practices Experience with database systems (SQL, NoSQL) and big data tools (e.g., Spark, Hadoop) is a plus. Personal Qualities: Strong analytical and problem-solving skills. Excellent programming and debugging abilities. Ability to communicate technical concepts to non-technical stakeholders. Attention to detail and commitment to reproducible research/code. Strong teamwork and collaborative mindset.

Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLMIntegration / AIDevelopment Experience with OpenAI, Anthropic APIs PromptEngineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs End To End Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code SecondarySkills AmazonBedrock Familiarity is a strong plus WebServers Experience with Nginx / Apache configuration RAGPatterns / VectorDBs / AIAgents Bonus experience SoftwareEngineeringBestPractices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices Candidate Submission Format Name: Total Experience: Relevant Experience in Full Stack / AWS / AI: Current CTC: Expected CTC: Notice Period: Preferred Location: Chennai / Hyderabad Resume: [Attach here] Submit profiles to: navaneetha@suzva.com

Youll make a difference by: Full Stack Development : Design, develop, and maintain frontend and backend components for web applications. Backend Development (Python) : Build robust and scalable APIs using Django, Flask, or FastAPI. Frontend Development : Develop responsive UI components using HTML, CSS, JavaScript, and modern frameworks (React, Vue.js, Angular). Database Management : Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB) and ORM technologies. API Development & Integration : Build and integrate RESTful APIs and third-party services to enhance functionality. Testing & Debugging : Implement unit testing, integration testing, and ensure high code quality. Version Control & Collaboration : Use Git and GitHub for version control and work in an Agile development environment. Deployment & DevOps : Contribute to CI/CD pipelines, Docker-based deployments, and cloud solutions like AWS, Azure, or GCP. Continuous Learning : Stay updated on emerging technologies, best practices, and contribute to the teams innovation efforts. Your success is grounded in Bachelors degree in computer science, IT, or a related field. 3+ years of experience in full-stack development, with a strong focus on Python. Hands-on experience with Django, Flask, or FastAPI for backend development Proficiency in frontend frameworks like React, Angular, or Vue.js. Experience with SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB). Strong understanding of REST APIs, web services, and authentication (JWT, OAuth). Knowledge of test automation tools and frameworks for software reliability. Familiarity with Git version control and Agile development methodologies. Excellent problem-solving, communication, and collaboration skills. Experience with cloud platforms (AWS, Azure, or Google Cloud). Knowledge of Docker, Kubernetes, and containerized applications Understanding of CI/CD pipelines and DevOps best practices. Exposure to Agile and Scrum methodologies

Hello Visionary! We know that the only way a business thrive is if our people are growing. That"™s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? We are looking for Software Architect You"™ll make a difference by Presale"™s activities In this role you would expect to involve in the various presale"™s activities such as customer/Partner collaboration, technical discussions with partners, defining scope, evaluate cost and price etc., across Advanta verticals and help in converting the RFQ into firm offer. Proof of Concept as Advanta verticals are involved in customer co-creation and PoC, you will be expected to take the lead to draft the PoC with the customer by defining success criteria, scope of work and efforts estimation. Kickstart a critical product/ project: You would be expected to help in kickstarting a critical product/ project and help the team in understanding the customer requirements and defining the road map for all features asked by the customer. You are also expected take the technical leadership and groom the team to lead the project. Make or buy decision: you are expected to help the management in finalizing the make or buy decision for various product and technology by evaluation both the scenario"™s and recommend which suits the best for the business. Leadership in this role, you shall be leading a team of architect and help them in grooming themselves to take the technology leadership in various projects/ areas. Mentioned above are a broad view of the role, the role may also be expanded to accommodate any request which would help the business and keep the stake holders updated and solutioning for consultancy projects, while you will have the full support and sponsorship from the Advanta management team, you will need to ideate, influence, build internal and external network, work with virtual teams, and drive tangible outcomes. You"™ll win us over by B.E. or B.Tech. with 15+ years of total experience Scoping the client solution to enable accurate estimation of the effort by conducting full technical discovery, identifying pain points, business and technical requirements, "as is" and "to be" scenarios. Create design architecture diagrams to present solutions to customer executives. Hands on experience with any cloud platforms Azure\AWS\GCP Sound knowledge with SQL\No SQL databases and their declarative languages. Sound knowledge in microservice architecture, continuous integration experience. Strong frontend experience, ideally with modern JavaScript framework Experience in Agile development tools. Formulating and leading technical / functional activities to prospective business partners\ clients while ensuring client satisfaction. Stay educated on new and emerging technologies/patterns/methodologies and market offerings. Reverse Engineering Skills Compare solution alternatives across both technical and business parameters which support the define cost and service requirements. Ability to communicate complex technical issues in simple and convincing to wide audience\stakeholders. SSWA/ SWA certification shall be a plus. Your opportunities for Personal Growth Direct engagement with the Advanta management Work in a collaborative team environment. Receive coaching and development opportunities. Experience an open feedback culture Development of a network that spans all Siemens Advanta verticals Create a better #TomorrowWithUs! This role, based in Bangalore, is an individual contributor position. You may be required to visit other locations within India and internationally. In return, you'll have the opportunity to work with teams shaping the future. At Siemens, we are a collection of over 312,000 minds building the future, one day at a time, worldwide. We are dedicated to equality and welcome applications that reflect the diversity of the communities we serve. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and imagination, and help us shape tomorrow Find out more about Siemens careers at www.siemens.com/careers

We are looking for a highly skilled and experienced Data Engineering Lead to join our team. The ideal candidate will have 5-10 years of experience in designing and implementing scalable data lake architecture and data pipelines. ### Roles and Responsibility Design and implement scalable data lake architectures using Azure Data Lake services. Develop and maintain data pipelines to ingest data from various sources. Optimize data storage and retrieval processes for efficiency and performance. Ensure data security and compliance with industry standards. Collaborate with data scientists and analysts to facilitate data accessibility. Monitor and troubleshoot data pipeline issues to ensure reliability. Document data lake designs, processes, and best practices. Experience with SQL and NoSQL databases, as well as familiarity with big data file formats like Parquet and Avro. Must have skills: Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, Python (PySpark, Numpy etc), SQL, ETL, Data warehousing, Azure Devops, Experience in developing streaming pipeline using Azure Event Hub, Azure Stream analytics, Spark streaming, and integration with business intelligence tools such as Power BI. Good to have skills: Big Data technologies (e.g., Hadoop, Spark), Data security. General Skills: Experience with Agile and DevOps methodologies and the software development lifecycle, proactive and responsible for deliverables, escalates dependencies and risks, works with most DevOps tools, limited supervision, completes assigned tasks on time and provides regular status reports, trains new team members, and builds strong relationships with project stakeholders. ### Job Requirements Minimum 5 years of experience in designing and implementing scalable data lake architecture and data pipelines. Strong knowledge of Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, Python (PySpark, Numpy etc), SQL, ETL, Data warehousing, and Azure Devops. Experience in developing streaming pipelines using Azure Event Hub, Azure Stream analytics, and Spark streaming. Familiarity with big data file formats like Parquet and Avro. Ability to work with multi-cultural global teams and virtually. Knowledge of cloud solutions such as Azure or AWS with DevOps/Cloud certifications is desired. Proactive and responsible for deliverables. Escalates dependencies and risks. Works with most DevOps tools, limited supervision. Completes assigned tasks on time and provides regular status reports. Trains new team members and builds strong relationships with project stakeholders.

We are looking for a skilled Full Stack Engineer with expertise in .NET Core and React to join our Security Remediation Team in Bangalore. The ideal candidate will have 5-10 years of experience. ### Roles and Responsibility Design and develop secure, enterprise-level web applications using .NET Core and React, adhering to best practices for code security. Collaborate with cross-functional teams to gather security requirements and deliver secure software solutions. Write clean, maintainable, and secure code in C# and .NET Core, incorporating request sanitization and input validation to mitigate vulnerabilities. Enhance and remediate existing applications by identifying and addressing security vulnerabilities within the codebase. Conduct code reviews to ensure compliance with security standards and apply security testing techniques. Partner with the security team to integrate security best practices throughout the Software Development Life Cycle (SDLC). Investigate and implement security tools and techniques to continuously enhance the security posture of applications. Test, deploy, and maintain secure applications, ensuring prompt remediation of vulnerabilities through the use of security-focused development tools. Develop comprehensive documentation for security processes and decisions, ensuring alignment with internal security guidelines and industry standards. Stay informed about emerging security trends, threats, and technologies, and recommend practices and tools to bolster application security. ### Job Requirements Bachelor’s degree in Computer Science, Engineering, or a related field. Proven experience as a Full Stack Developer or similar role with a strong emphasis on secure software development. In-depth knowledge of .NET Core and C#, with expertise in Object-Oriented Programming (OOP) concepts. Practical experience in React for developing secure front-end interfaces. Solid understanding of security concepts such as request sanitization, input validation, and secure coding practices to protect against OWASP Top 10 vulnerabilities. Familiarity with secure architecture styles/APIs (e.g., REST, GraphQL, RPC) and security protocols (e.g., OAuth2, JWT). Experience with SQL/NoSQL databases, including secure data handling and storage practices. Proficient in Git and other version control systems. Excellent troubleshooting, debugging, and communication skills, with the ability to articulate security-related issues to both technical and non-technical stakeholders. Detail-oriented, with a commitment to writing secure, high-quality code.

We are looking for a highly skilled and experienced Senior Data Scientist with 3 to 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. ### Roles and Responsibility Contribute to the design and implementation of state-of-the-art AI solutions. Assist in developing and implementing AI models and systems using techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. ### Job Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field; a Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements.

We are looking for a highly skilled and experienced Frontend Developer with 7 to 10 years of industry experience to join our team. The ideal candidate will have strong proficiency in full-stack development, particularly in Angular or ReactJS on the front end, and Java Spring Boot or .NET Core on the back end. ### Roles and Responsibility Participate in organization-wide managed services initiatives. Collaborate with teams to understand Enterprise solution Architecture. Manage stakeholders and share weekly reports. Engage with Business Teams using business acumen. Identify product and deployment improvements to mitigate future occurrences. Work iteratively in a team with continuous collaboration. ### Job Requirements Strong proficiency in full-stack development, including Angular or ReactJS and Java Spring Boot or .NET Core. Experience working with SQL/NoSQL databases and REST/SOAP-based API development. Knowledge of modern authorization mechanisms, such as JSON Web Token and SSO. Experience working on cloud platforms like Azure or GCP. Understanding of progressive web apps and experience writing automated tests. Ability to implement unit testing with Junit/Nunit and Mockito. Exposure to other UI frameworks like Vuejs. Experience in developing microservices. Familiarity with various design patterns. Implementation knowledge in Web Security. Self-motivated, strong communication and team-building skills. BE/BTech/MCA with a sound industry experience of 7 to 10 years.

We are looking for a skilled Data Engineering Lead with 8 to 10 years of experience, based in Bengaluru. The ideal candidate will have a strong background in designing and implementing scalable data lake architecture and data pipelines. ### Roles and Responsibility Design and implement scalable data lake architectures using Azure Data Lake services. Develop and maintain data pipelines to ingest data from various sources. Optimize data storage and retrieval processes for efficiency and performance. Ensure data security and compliance with industry standards. Collaborate with data scientists and analysts to facilitate data accessibility. Monitor and troubleshoot data pipeline issues to ensure reliability. Document data lake designs, processes, and best practices. Experience with SQL and NoSQL databases, as well as familiarity with big data file formats like Parquet and Avro. Experience in developing streaming pipelines using Azure Event Hub, Azure Stream analytics, Spark streaming. Experience in integrating with business intelligence tools such as Power BI. ### Job Requirements Strong knowledge of Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, and Azure DataBricks. Proficiency in Python (PySpark, Numpy), SQL, ETL, and data warehousing. Experience with Agile and DevOps methodologies and the software development lifecycle. Proactive and responsible for deliverables; escalates dependencies and risks. Works with most DevOps tools, limited supervision, and completes assigned tasks on time with regular status reporting. Ability to train new team members and build strong relationships with project stakeholders. Knowledge of cloud solutions such as Azure or AWS with DevOps/Cloud certifications is desired. Ability to work with multi-cultural global teams virtually. Completion of assigned tasks on time and regular status reporting.

We are looking for a skilled professional with 3 to 8 years of experience to join our team as an EY Data Engineer in Bengaluru. The ideal candidate will have a strong background in data engineering, analytics, and reporting. ### Roles and Responsibility Collaborate with cross-functional teams to design and implement data solutions. Develop and maintain large-scale data pipelines using tools like Azure Data Factory and Azure Synapse. Design and implement data models and architectures to support business intelligence and analytics. Work with stakeholders to understand business requirements and develop solutions that meet their needs. Ensure data quality and integrity by implementing data validation and testing procedures. Optimize data storage and retrieval processes for improved performance and efficiency. ### Job Requirements Strong knowledge of data modeling, architecture, and visualization techniques. Experience with big data technologies such as Hadoop, Spark, and NoSQL databases. Proficiency in programming languages like Python, Java, and SQL. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Strong understanding of data governance principles and practices. A B.Tech/B.E. degree is required; higher professional or master’s qualification is preferred. Active membership in related professional bodies or industry groups is preferred.

We are looking for a highly skilled and experienced Senior Data Scientist to join our team in Bengaluru. The ideal candidate will have 4 to 9 years of experience in data science, with a strong background in machine learning, deep learning, and natural language processing. ### Roles and Responsibility Develop and implement innovative AI solutions using Python and open-source models. Extract insights from complex PDF/Word Doc/Forms using techniques such as entity extraction, table extraction, and information comparison. Collaborate with Solution Architects on the deployment of AI POCs and scaling them up to production-level applications. Own the AI/ML implementation process, including model design, feature planning, testing, production setup, monitoring, and release management. Work closely with cross-functional teams to support global clients. Develop analytics-enabled solutions by integrating data science activities with business-relevant aspects. ### Job Requirements Excellent academic background in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related fields. Solid background in Python with excellent coding skills. Minimum 4 years of core data science experience in areas such as machine learning, deep learning, and natural language processing. Good understanding of open-source LLM frameworks like Mistral, Llama, and fine-tuning on custom datasets. Experience with SQL/NoSQL Databases and API Deployment (Flask/FastAPI/Azure Function Apps). Strong written, oral, presentation, and facilitation skills. Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with the ability to prioritize and multitask. Analyze complex or unusual problems and deliver insightful and pragmatic solutions. Ability to quickly and easily create/gather/analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors.

We are looking for a skilled Full Stack Engineer with expertise in .NET Core and Angular to join our Security Remediation Team in Bangalore. The ideal candidate will have 5-10 years of experience. ### Roles and Responsibility Design and develop secure, enterprise-level web applications using .NET Core and Angular, following best practices for code security. Collaborate with cross-functional teams to gather security requirements and deliver secure software solutions. Write clean, maintainable, and secure code in C# and .NET Core, incorporating request sanitization and input validation to mitigate vulnerabilities. Enhance and remediate existing applications by identifying and addressing security vulnerabilities within the codebase. Conduct code reviews to ensure adherence to security standards and apply security testing techniques. Work closely with the security team to integrate security best practices throughout the Software Development Life Cycle (SDLC). Investigate and implement security tools and techniques to continuously enhance the security posture of applications. Test, deploy, and maintain secure applications, ensuring timely remediation of vulnerabilities through the use of security-focused development tools. Develop documentation for security processes and decisions, ensuring compliance with internal security guidelines and industry standards. Stay informed about emerging security trends, threats, and technologies, and recommend practices and tools to strengthen application security. ### Job Requirements Bachelor’s degree in Computer Science, Engineering, or a related field. Proven experience as a Full Stack Developer or in a similar role, with a focus on secure software development. Strong knowledge of .NET Core and C#, with expertise in Object-Oriented Programming (OOP) concepts. Practical experience in Angular for developing secure front-end interfaces. Solid understanding of security concepts such as request sanitization, input validation, and secure coding practices to protect against OWASP Top 10 vulnerabilities. Familiarity with secure architecture styles/APIs (e.g., REST, GraphQL, RPC) and security protocols (e.g., OAuth2, JWT). Experience with SQL/NoSQL databases, including secure data handling and storage practices. Proficient in Git and other version control tools. Excellent troubleshooting, debugging, and communication skills, with the ability to convey security-related issues to both technical and non-technical stakeholders. Detail-oriented, with a commitment to writing secure, high-quality code.

We are looking for a highly skilled and experienced Senior Data Scientist to join our team in Bengaluru. The ideal candidate will have 4-7 years of experience in data science, with a strong background in machine learning, deep learning, and natural language processing. ### Roles and Responsibility Develop and implement innovative AI solutions using Python and other programming languages. Collaborate with cross-functional teams to design and deploy scalable data pipelines. Conduct complex data analysis and provide actionable insights to stakeholders. Design and develop predictive models to drive business growth and improvement. Work closely with the Solution Architects on deploying AI POCs and scaling them up to production-level applications. Extract data from complex PDF/Word Docs/Form entities, tables, and information comparison. ### Job Requirements Excellent academic background in data science, Business Analytics, Statistics, Engineering, Operational Research, or a related field. Strong proficiency in Python, with excellent coding skills and experience in deploying open-source models. Experience in machine learning, deep learning, and natural language processing. Good understanding of SQL/NoSQL Databases and their manipulation components. Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization and organization. Proactive, organized, and self-sufficient with the ability to prioritize and multitask. Knowledge of firm’s reporting tools and processes. Demonstrated project management experience. A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be part of market-leading, multi-disciplinary team of 7200+ professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries.

We are looking for a skilled AI Architect with 10-12 years of experience in Data Science, including 4-5 years focused on architecting and designing AI solutions. The ideal candidate will have a strong background in machine learning, deep learning, natural language processing, and computer vision. ### Roles and Responsibility Lead the design and implementation of comprehensive AI architectures, encompassing machine learning, generative AI, and intelligent agent systems. Develop detailed technical documentation encompassing end-to-end system architecture, infrastructure requirements, API specifications, and deployment processes. Conduct research to explore new advancements in Machine Learning, GenAI, and Agents, and incorporate them into current and future projects. Establish guidelines and frameworks to maintain ethical AI development, mitigate biases, and ensure compliance with data privacy regulations and industry standards. Collaborate with cross-functional teams to support global clients and drive innovation. Design and implement scalable and efficient AI solutions that meet business needs. ### Job Requirements Excellent academic background in Data Science, Business Analytics, Statistics, Engineering, Operational Research, or other related field. Solid background in Python with excellent coding skills. Experience in machine learning, deep learning, natural language processing, and computer vision. Strong understanding of large language models like OpenAI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents, etc. Experience with AIOps and MLOps. Good understanding of open source LLM framework like Mistral, Llama, etc., and fine tuning on custom datasets. Deep learning (DNN, RNN, LSTM, Encoder-Decoder Models). Natural Language Processing - Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. Computer Vision - Image Classification, Object Detection, Tracking, etc. SQL/NoSQL Databases and its manipulation components. Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Excellent written, oral, presentation, and facilitation skills. Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to prioritize and multitask. Analyzes complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/gather/analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors.

ABOUT THE ROLE Role Description: The Product Master Data Management (PMDM) Data Engineer is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes. You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, structured content management, and integrated data to automate the creation, review, and approval of regulatory content. Roles & Responsibilities: Design, develop, and maintain solutions for data generation, collection, and processing. Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions. Build and maintain back-end services using languages like Python, Java, or Node.js that provide secure, reliable, and scalable access to Product Master Data. Collaborate with the design and product teams to understand user needs and translate them into technical requirements. Write clean, efficient, and well-tested code. Participate in code reviews and provide constructive feedback. Maintain system uptime and optimal performance Learn and adapt to new technologies and industry trends Collaborate and communicate effectively with product teams Participate in sprint planning meetings and provide estimations on technical implementation Basic Qualifications and Experience: Bachelor’s degree and 0 to 3 years of Computer Science, IT or related field experience OR Diploma and 4 to 7 years of Computer Science, IT or related field experience Functional Skills: Must-Have Skills: Hands on experience with web API development Hands on experience with backend development, proficient with SQL/NoSQL database, proficient in Python and SQL Ability to learn new technologies quickly. Strong problem-solving and analytical skills. Excellent communication and teamwork skills. Good-to-Have Skills: Strong understanding of data modeling, data warehousing, and data integration concepts Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments) Machine Learning Certification (preferred on Databricks or Cloud environments Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

About The Role The Data Analytics & Automation Sr. Associate will support the Finance Corporate Services teams, including Global Meetings Management, Global Travel & Expense, Global Learning Solutions, Payroll, and Treasury. This role will be responsible for executing data collection, aggregation, and report development to support business leaders in tracking key performance metrics and service delivery effectiveness. Reporting to the Data Analytics & Automation Manager, this individual will play a critical role in developing and maintaining performance management dashboards and automation solutions. They will assist in analyzing data to identify trends, support investigations, and uncover opportunities for process improvement. The Sr. Associate will also work closely with the Corporate Services Product Team to ensure data connectivity and IT governance compliance. A successful candidate will be comfortable executing tasks under the guidance of leadership, compiling data-driven insights, and contributing to projects (long and short-term) that enhance business functions. He or she will also gather, analyze and prepare data in various forms for the Corporate Services leadership team, as well as other ad hoc needs and requests. Responsibilities Design and develop visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Utilize tools such as Tableau, Power BI, and Smartsheet to create effective reporting solutions, ensuring data accuracy and integrity. Execute and implement automation solutions to enhance efficiency and reduce manual effort, leveraging tools such as Power Automate, Power Apps, Power Query, Tableau, Smartsheet, and SharePoint. Develop and maintain data pipelines, queries, and reports to support strategic decision-making, business operations, and ad hoc analytics requests. Collect, aggregate, and analyze data from multiple systems and data warehouses (e.g., Cvent, Concur, SAP) to provide actionable insights and drive process improvements. Support AI automation initiatives, including the maintenance of intake and AI self-service platforms like ServiceNow, while identifying opportunities for AI-driven process enhancements. Ensure seamless data integration and system configurations in collaboration with Technology teams, enforcing data governance policies and standardized data connectivity. Proactively identify trends, conduct investigations, and provide data-driven recommendations to functional leaders to improve business performance and operational efficiency. Prepare recurring reports and dashboards, including monthly, quarterly, and annual performance metrics for Corporate Services leadership. Develop and optimize data analytic queries, standardized/custom report layouts, and a library of executive report formats to align reporting processes with business objectives. Apply data science methodologies, including regression, classification, clustering, and predictive modeling, to enhance reporting and analytics capabilities. Conduct in-depth, ad hoc analyses to investigate operational challenges and provide data-driven insights. Experience with data analytics, reporting tools, and automation solutions. Strong skills in data visualization and dashboard creation (e.g., Power BI, Tableau). Proficiency in SQL and NoSQL databases, including relational table design, indexing strategies, and writing complex queries, with experience handling big data models, data lakes, and distributed computing frameworks. Ability to work with large datasets and extract meaningful insights. Proficiency in data analytics and visualization tools Expertise in automation platforms and workflows, including Microsoft Power Platform (Power Automate, Power Query, Power Apps, SharePoint, and Pages) to streamline processes and improve efficiency. Experience in programming languages such as Python, R, and JSON for data processing, automation, and analytics. Experience with AI-driven analytics and large language models (LLMs) to enhance data insights and automation capabilities. Experience working with self-service platforms such as ServiceNow to support business functions and automation. Understanding of enterprise data governance principles to ensure data accuracy, integrity, and compliance across reporting and automation systems. Familiarity with additional automation tools, such as UiPath and emerging AI technologies, to drive process optimization. Strong data visualization and storytelling skills, with the ability to translate complex data into meaningful dashboards, executive reports, and infographics. Knowledge of statistical techniques, including regression, clustering, and classification, as well as data discovery and visualization methods such as distributions, histograms, and bar charts. Demonstrated ability to take initiative and execute projects independently, while effectively collaborating across teams and influencing without direct authority. Strong attention to detail and ability to manage multiple tasks effectively. Strong communication skills, with the ability to present insights clearly to leadership and coordinate cross-functional data requests and updates.

As a Database Architect specializing in NoSQL and MongoDB , you will play a pivotal role in designing and optimizing data architectures that power our systems and applications. Your focus will be on creating scalable, resilient, and high-performance database solutions to handle large volumes of data while ensuring data integrity and security. You will work closely with cross-functional teams to architect and build innovative solutions that solve complex operational problems and drive business value. In this role, you will leverage your deep expertise in NoSQL databases, particularly MongoDB, to develop and optimize data infrastructure, ensuring that our systems run efficiently and effectively. Much of your work will center around building and maintaining databases that can scale to meet growing demands, optimizing performance, and automating processes to reduce operational overhead. As part of a team of highly skilled problem-solvers, you will have the opportunity to take risks, experiment with new approaches, and implement cutting-edge technologies. Your contributions will directly impact the success of our production applications and systems, allowing us to deliver high-quality, scalable solutions in a fast-paced environment. Responsibilities Assist/work with Cloud Solution and Infra Architects. Database administration, design, and deployment of MongoDB(ATLAS) cluster and database. Design and implement sharing and indexing strategies for MongoDB (ATLAS). Advise MongoDB (ATLAS) HA strategies, including replica sets and sharding. Maintain MongoDB (ATLAS) databases/DB projects Design, implement and manage the security of MongoDB (ATLAS) databases. Responsible for Mongo backups and restores Implement and maintain MongoDB OPS Manager Solve difficult technical challenges Administer MongoDB to achieve 100% availability Collaborate with other teams to solve technical issues Maintain detailed documentation of database Design/Architecture and setup. Experience and Skills 3+ years of experience working in Mongo Database administration. Very good experience in the Linux environment in a database administrator role 1+ years of shell scripting Hands-on experience with solving MongoDB performance issues Hands-on experience with building and maintaining MongoDB replica sets Hands-on experience with building and maintaining MongoDB sharded environment Proactively work on monitoring, identifying, and fixing database-related issues Ability to learn quickly and adapt to handle ambiguous situations Ability to work under pressure and to deadlines Ability to work in a collaborative team-oriented environment Team player with good interpersonal and communication skills Experience in automating database administration tasks Experience in Privileged Access Management - authentication mechanisms like LDAP, Kerberos, Hashi Corp, Active Directory Qualifications Bachelor's degree in any stream Benefits: Best in Industry Salary Health Insurance Flexible working hours

Senior Big Data Engineer Experience: 7-9 Years of Experience. Preferred location: Hyderabad Must have Skills: Bigdata, AWS cloud, Java/Scala/Python, Ci/CD Good to Have Skills: Relational Databases (any), No SQL databases (any), Microservices or Domain services or API gateways or similar, Containers (Docker, K8s, etc) Required Skills Big Data,Aws Cloud,CI/CD,Java/Scala/Python

Management Level :09 - Senior Consultant Location :Gurgaon/Bangalore/Mumbai Must have skills :Front-End Frameworks (React, Angular, Vue.js), Back-End Technologies (Node.js, Python/Django, Java), REST APIs, SQL & NoSQL, Cloud (AWS/Azure/GCP), DevOps Practices, CI/CD Pipelines, Web Application Development Good to have skills :Docker/Kubernetes, Performance Optimization, Cloud Integrations, API Development, UI/UX Best Practices, Security Best Practices, Clean Code Practices, Microservices Architecture Job Summary : We are seeking a talented and motivated Full-Stack Developer to join our Banking team. The ideal candidate will leverage their expertise in designing and implementing scalable web applications, ensuring optimal performance and user experience. This role involves collaborating with cross-functional teams to deliver innovative solutions that meet business needs. Roles & Responsibilities: Web Application Development :Develop and maintain web applications using modern frameworks and technologies. Collaboration :Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful solutions. Optimization :Optimize application performance and scalability to ensure seamless user experiences. Code Quality :Write clean, maintainable, and well-documented code. REST API Development :Develop and integrate robust APIs for communication between the front-end and back-end systems. Cloud Platform Integration :Utilize cloud platforms like AWS , Azure , or GCP to build and deploy applications and services. CI/CD :Implement and maintain DevOps practices and CI/CD pipelines to ensure continuous delivery and integration. Security :Follow security best practices and ensure compliance with industry standards for web application development. Professional & Technical Skills: 3+ years of experience in Full-Stack Development , focusing on front-end frameworks (e.g., React , Angular , Vue.js ) and back-end technologies (e.g., Node.js , Python/Django , Java ). Strong knowledge of REST APIs , SQL and NoSQL databases . Hands-on experience with cloud platforms (AWS, Azure, or GCP). Proficiency in DevOps practices and the ability to implement and maintain CI/CD pipelines . Experience optimizing web application performance and ensuring scalability. Strong problem-solving and communication skills, with the ability to explain technical concepts clearly to diverse audiences. Additional Information: Portfolio :Resources are expected to have a demonstrable portfolio of visualization work and web application development projects. Security & Compliance :Adherence to security best practices and ensuring data privacy standards are maintained across applications. Qualifications Experience :Minimum 3+ years of experience in Full-Stack Development, with a focus on building scalable web applications, REST API integrations, and cloud-based solutions. Educational Qualification :Bachelors or Masters in Computer Science , Software Engineering , or a related discipline from a premier institute.

Management Level :11 - Analyst Location :Gurgaon/Bangalore/Mumbai Must have skills :Front-End Frameworks (React, Angular, Vue.js), Back-End Technologies (Node.js, Python/Django, Java), REST APIs, SQL & NoSQL, Cloud (AWS/Azure/GCP), DevOps Practices, CI/CD Pipelines, Web Application Development Good to have skills :Docker/Kubernetes, Performance Optimization, Cloud Integrations, API Development, UI/UX Best Practices, Security Best Practices, Clean Code Practices, Microservices Architecture Job Summary : We are seeking a talented and motivated Full-Stack Developer to join our Banking team. The ideal candidate will leverage their expertise in designing and implementing scalable web applications, ensuring optimal performance and user experience. This role involves collaborating with cross-functional teams to deliver innovative solutions that meet business needs. Roles & Responsibilities: Web Application Development :Develop and maintain web applications using modern frameworks and technologies. Collaboration :Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful solutions. Optimization :Optimize application performance and scalability to ensure seamless user experiences. Code Quality :Write clean, maintainable, and well-documented code. REST API Development :Develop and integrate robust APIs for communication between the front-end and back-end systems. Cloud Platform Integration :Utilize cloud platforms like AWS , Azure , or GCP to build and deploy applications and services. CI/CD :Implement and maintain DevOps practices and CI/CD pipelines to ensure continuous delivery and integration. Security :Follow security best practices and ensure compliance with industry standards for web application development. Professional & Technical Skills: 3+ years of experience in Full-Stack Development , focusing on front-end frameworks (e.g., React , Angular , Vue.js ) and back-end technologies (e.g., Node.js , Python/Django , Java ). Strong knowledge of REST APIs , SQL and NoSQL databases . Hands-on experience with cloud platforms (AWS, Azure, or GCP). Proficiency in DevOps practices and the ability to implement and maintain CI/CD pipelines . Experience optimizing web application performance and ensuring scalability. Strong problem-solving and communication skills, with the ability to explain technical concepts clearly to diverse audiences. Additional Information: Portfolio :Resources are expected to have a demonstrable portfolio of visualization work and web application development projects. Security & Compliance :Adherence to security best practices and ensuring data privacy standards are maintained across applications. Qualifications Experience :Minimum 3+ years of experience in Full-Stack Development, with a focus on building scalable web applications, REST API integrations, and cloud-based solutions. Educational Qualification :Bachelors or Masters in Computer Science , Software Engineering , or a related discipline from a premier institute.