581 Elastic Search Jobs - Page 11

About The Role : Job Title:ELK & Grafana Architect Design, implement, and optimize ELK solutions to meet data analytics and search requirements. Collaborate with development and operations teams to enhance logging capabilities. Implement and configure components of the Elastic Stack, including Filebeat, Metricbeat, Winlogbeat, Logstash, and Kibana. Create and maintain comprehensive documentation for Elastic Stack configurations and processes. Ensure seamless integration between various Elastic Stack components. Develop and maintain advanced Kibana dashboards and visualizations. Design and implement solutions for centralized logs, infrastructure health metrics, and distributed tracing for different applications. Implement Grafana for visualization and monitoring, including Prometheus and Loki for metrics and logs management. Build detailed technical designs related to monitoring as part of complex projects. Ensure engagement with customers and deliver business value. Requirements: 6+ years of experience as an ELK Architect/Elastic Search Architect. Hands-on experience with Prometheus, Loki, OpenTelemetry, and Azure Monitor. Experience with data pipelines and redirecting Prometheus metrics. Proficiency in scripting and programming languages such as Python, Ansible, and Bash. Familiarity with CI/CD deployment pipelines (Ansible, GIT). Strong knowledge of performance monitoring, metrics, capacity planning, and management. Excellent communication skills with the ability to articulate technical details to different audiences. Experience with application onboarding, capturing requirements, understanding data sources, and architecture diagrams. Experience with OpenTelemetry monitoring and logging solutions. 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc

About The Role Role Purpose The purpose of the role is to resolve, maintain and manage client’s software/ hardware/ network based on the service requests raised from the end-user as per the defined SLA’s ensuring client satisfaction ? Do Ensure timely response of all the tickets raised by the client end user Service requests solutioning by maintaining quality parameters Act as a custodian of client’s network/ server/ system/ storage/ platform/ infrastructure and other equipment’s to keep track of each of their proper functioning and upkeep Keep a check on the number of tickets raised (dial home/ email/ chat/ IMS), ensuring right solutioning as per the defined resolution timeframe Perform root cause analysis of the tickets raised and create an action plan to resolve the problem to ensure right client satisfaction Provide an acceptance and immediate resolution to the high priority tickets/ service Installing and configuring software/ hardware requirements based on service requests 100% adherence to timeliness as per the priority of each issue, to manage client expectations and ensure zero escalations Provide application/ user access as per client requirements and requests to ensure timely solutioning Track all the tickets from acceptance to resolution stage as per the resolution time defined by the customer Maintain timely backup of important data/ logs and management resources to ensure the solution is of acceptable quality to maintain client satisfaction Coordinate with on-site team for complex problem resolution and ensure timely client servicing Review the log which Chat BOTS gather and ensure all the service requests/ issues are resolved in a timely manner ? Deliver NoPerformance ParameterMeasure1. 100% adherence to SLA/ timelines Multiple cases of red time Zero customer escalation Client appreciation emails ? ? Mandatory Skills: Fullstack MEAN. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. ? Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLA’s defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements ? Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers’ and clients’ business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLA’s ? Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks ? Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: Fullstack MEAN. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

???? Remote | ???? AI-first Startup | ???? Equity + Future Salary ???About the Client: Silicon Hub is building the AI-powered future of semiconductor IP discovery and automation Weve already launched a product loved by early customers?and now were looking for our Founding AI Engineer to take our core intelligence engine to the next level This is a founding-level opportunity to lead all things AI at a high-potential startup backed by deep industry insight Youll design and scale real-world systems that power complex search, reasoning, and generation tools?driven by LLMs, embeddings, and proprietary datasets ??? What You'll Do Enhance and scale our current AI-powered features (LLM + embeddings + ElasticSearch stack) Fine-tune or pretrain open models (e g-, OpenAI, Mistral, LLaMA) for domain-specific tasks Build intelligent retrieval and reasoning systems tailored to semiconductor IPs Design agents and AI systems capable of generating new IP metadata, structures, or classifications Be a strategic partner to the CEO and CTO?help shape the future of AI in chip design ?? What Were Looking For Proven experience with LLMs (OpenAI API, HuggingFace, or custom fine-tuning) Strong grasp of RAG pipelines and vector search (Milvus, FAISS, ElasticSearch, hybrid search) Python backend experience (FastAPI or equivalent frameworks) Ability to train or fine-tune models for niche, highly technical domains Understanding of metrics to evaluate generative models and search accuracy Entrepreneurial mindset?able to move fast and iterate with limited resources Willingness to work for equity (with future compensation as we scale) ???? Bonus Points Exposure to semiconductors or EDA tools (even basic knowledge helps!) Experience launching AI-powered product features from scratch Skills in prompt engineering, chunking, and RAG system optimization Familiarity with agent frameworks, tools, or tool-based reasoning Academic research background or notable open-source contributions in ML/NLP ???Why Join Us Youll be the AI owner at a fast-growing deep tech startup Real, hard problems in LLM search, generation, and reasoning to solve Opportunity to shape how IP is created and discovered across the chip industry Work directly with a founder-CEO with a PhD in chip design and an MBA from Duke Build a category-defining product in an untapped multi-billion dollar market Show more Show less

Working as SME in data governance, metadata management and data catalog solutions, specifically on Collibra Data Governance. Client interface and consulting skills required Experience in Data Governance of wide variety of data types (structured, semi-structured and unstructured data) and wide variety of data sources (HDFS, S3, Kafka, Cassandra, Hive, HBase, Elastic Search) Partner with Data Stewards for requirements, integrations and processes, participate in meetings and working sessions Partner with Data Management and integration leads to improve Data Management technologies and processes. Working experience of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra Experience in setting up peoples roles, responsibilities and controls, data ownership, workflows and common processes Integrate Collibra with other enterprise toolsData Quality Tool, Data Catalog Tool, Master Data Management Solutions Develop and configure all Collibra customized workflows 10. Develop API (REST, SOAP) to expose the metadata functionalities to the end-users Location :Pan India

Company Description Responsibilities: Deliver excellent onboarding experienceTrain and drive customers to success through enablement on product features, environment setup, and prototyping implementation-vital features. Design & Develop SolutionsHelp customers realize value from requirements gathering through development and delivery of embedded analytics software solutions using Logi analytics products. Serve as the ‘go-to’ product expertDocument and recommend best-practices used by the most successful Logi customers, evangelize for proper use of the product. Drive Customer SuccessForm an opinion on what Logi’s customers need to be successful, and advocate for the customer base internally. Qualifications Must Have: 6+ years in a similar Professional Services role requiring consulting Excellent communication Experience in a customer-facing role mapping customer requirements to software solutions Ability to work without a Business Analyst or team of consultants/analysts in a customer-facing role Very good front-end development knowledge with professional experience using HTML, CSS, and Javascript Very familiar with navigating Windows and Linux OS Working knowledge of containers and micro-services architecture Very good grasp of at least one relational database flavor of SQL Writing a SQL-based query Stored procedures Table Valued Functions CTE Statements Hierarchies Indexing Performance tuning and other advanced concepts Basic experience shell scripting Experience and working knowledge of the following topics are nice to have and a plus. Deploying software to cloud environments including AWS and/or Azure A good understanding of Kubernetes Good working knowledge of Node.js Working knowledge/experience of software development practices (e.g. Software Development Life Cycle, Agile methodology) Good working knowledge of modern front-end solutions (e.g. AngularJS, ReactJS, VueJS) Back-end languages and concepts (e.g. Java EE, ASP.Net, C#, Spring Boot, Python) Knowledge and experience of NoSQL/Search database engines (e.g. MongoDB, Elasticsearch, Cassandra, Cosmos DB) Additional Information About you Demonstrates CuriosityYou are self-motivated to seek out information and learn about Logi’s products, relevant technologies, and keep up with industry trends. Excellent CommunicatorYou are comfortable explaining complex concepts to both technical and non-technical stakeholders in either a written or spoken context. Exceptional OrganizationYou can manage competing priorities as well as tight customer schedules to provide prompt and outstanding service. ** At this time insightsoftware is not able to offer sponsorship to candidates who are not eligible to work in the country where the position is located . ** insightsoftware About UsHear From Our Team - InsightSoftware (wistia.com) Background checks are required for employment with insightsoftware, where permitted by country, state/province.

As a Technical Architect, you will design and develop cutting-edge solutions using Java/J2EE, Microservices, Kubernetes, Elastic Search, React, and SDN technologies. You will contribute to the product architecture, rapidly prototype designs, and work closely with a distributed team to ensure high-quality engineering and performance. You have: Bachelors or Masters degree in Computer Science or related field with 12+ years of relevant experience in Java/J2EE. Experience testing cloud-based solutions and understanding of Unix, Java, and J2EE concepts. Deep knowledge of fixed broadband (DSL/PON) products. L2/L3 networking knowledge with hands-on experience in SNMP/Netconf protocols. Experience in design patterns, understanding architecture, and coding. It would be nice if you also had: Knowledge of OSGi, Microservices, Kubernetes, and SDN/NFV. Contribute to product architecture by quickly prototyping and validating design approaches to align with evolving product requirements. Design and develop solutions using advanced technologies such as Java/J2EE, Microservices, Kubernetes, and SDN. Mentor and coach a distributed engineering team to ensure high performance, quality, and efficient design practices. Collaborate closely with various teams to translate requirements into technical solutions and refine the development process. Contribute to test design, test bed setup, execution, and reporting, ensuring product quality through various software testing methodologies. Gain hands-on experience working in a cloud-based, CI/CD, and DevOps environment, optimizing the development lifecycle. Leverage experience with broadband solutions (DSL/PON) and networking protocols like SNMP and Netconf to build efficient and scalable systems.

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 : Microsoft FED ReactJS Good to have skills : JavaScript, React.jsMinimum 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 also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that the applications developed meet both user needs and technical requirements. Your role will be pivotal in fostering a collaborative environment that encourages innovation and efficiency in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Facilitate regular team meetings to discuss progress and address any roadblocks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft FED ReactJS.- Good To Have Skills: Experience with React.js, JavaScript.- Strong understanding of front-end development principles and best practices.- Experience with state management libraries such as Redux or MobX.- Familiarity with RESTful APIs and asynchronous programming. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft FED ReactJS.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

[Qualifications] BS in Computer Science or equivalent work experience 5+ years of relevant development experience[Primary Skills] Experienced in Java Experience in NoSQL, Docker, Kubernetes, Prometheus, Consul, ElasticSearch, Kibana, and any other CNCF technologies Knowledge of Linux and Bash Skilled in crafting distributed systems Understanding of concepts such as concurrency, parallelism, and event driven architecture Knowledge of Web technologies including REST and gRPC Intermediate knowledge of version control tools such as git and GitLaKeywords Java, NoSQL, Docker, Kubernetes, Prometheus, Consul, Elasticsearch, Kibana Python Nice to have.

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Front-end Web Developer includes5-8 years of experience in software development using modern languages Implemented Clean Code principles, Junits Thorough understanding of React native and NodeJS and its core principles Experience developing and consuming REST APIs / GraphQL, manage data on the client with Redux and GraphQL, and test everything with Jest Preferred technical and professional experience Good to haveMeasure and resolve performance bottlenecks, using tools like Chrome DevTools Good to know - Lighthouse, Web Page test, or custom tooling

The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Front-end Web Developer includes5-8 years of experience in software development using modern languages Implemented Clean Code principles, Junits Thorough understanding of React native and NodeJS and its core principles Experience developing and consuming REST APIs / GraphQL, manage data on the client with Redux and GraphQL, and test everything with Jest Preferred technical and professional experience Good to haveMeasure and resolve performance bottlenecks, using tools like Chrome DevTools Good to know - Lighthouse, Web Page test, or custom tooling

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization. Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources. Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities. Hands-on experience with dimensional and relational data modelling techniques to support analytics and reporting requirements Preferred technical and professional experience Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling. Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes. Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks

As a senior managing SAP consultant, you will serve as a client-facing practitioner responsible for selling, leading, and implementing offerings with deep understanding of SAP systems. As a trusted business advisor who collaborates to provide innovative solutions for solving the most challenging business problems with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. Participate in business development activities and contribute to proposal development. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution LeadershipLeading the technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Team Delivery leadershipLeading and manage high performing team of SAP consultants to deliver work products on time, budget, and quality. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your functional expertise of SAP with clients and team members and working with the latest technologies with industry best practices applied Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Front-end Web Developer includes5-8 years of experience in software development using modern languages Implemented Clean Code principles, Junits Thorough understanding of React native and NodeJS and its core principles Experience developing and consuming REST APIs / GraphQL, manage data on the client with Redux and GraphQL, and test everything with Jest Preferred technical and professional experience Good to haveMeasure and resolve performance bottlenecks, using tools like Chrome DevTools Good to know - Lighthouse, Web Page test, or custom tooling

As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Very good experience on Continuous Flow Graph tool used for point based development Design, develop, and maintain ETL processes using Ab Initio tools. Write, test, and deploy Ab Initio graphs, scripts, and other necessary components. Troubleshoot and resolve data processing issues and improve performance. Data Integration:Extract, transform, and load data from various sources into data warehouses, operational data stores, or other target systems. Work with different data formats, including structured, semi-structured, and unstructured data Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Front-end Web Developer includes5-8 years of experience in software development using modern languages Implemented Clean Code principles, Junits Thorough understanding of React native and NodeJS and its core principles Experience developing and consuming REST APIs / GraphQL, manage data on the client with Redux and GraphQL, and test everything with Jest Preferred technical and professional experience Good to haveMeasure and resolve performance bottlenecks, using tools like Chrome DevTools Good to know - Lighthouse, Web Page test, or custom tooling

As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Very good experience on Continuous Flow Graph tool used for point based development Design, develop, and maintain ETL processes using Ab Initio tools. Write, test, and deploy Ab Initio graphs, scripts, and other necessary components. Troubleshoot and resolve data processing issues and improve performance Data Integration: Extract, transform, and load data from various sources into data warehouses, operational data stores, or other target systems. Work with different data formats, including structured, semi-structured, and unstructured data Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours’. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Responsible for Develop processes to proactively monitor and alert for critical metrics. DSL Query writing experience & Development of Trend analysis graphs (Kibana dashboards) for critical events based on event correlation. Responsible for Implement and manage Logstash Pipelines. Responsible for Index management for better optimum efficiency. Index management for better optimum efficiency Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education Qualification - BE/Btech/MCA/M.Tech, 4-5 yrs Experience in providing solutions using Elastic Stack Experience in Administering Production systems where Elastic stack runs. Experience in end-to-end low-level design, development and delivery of ELK based reporting solutions Preferred technical and professional experience Understand business requirements and create appropriate indexes documents. Index management for better optimum efficiency. Must be Proficient in elastic query for data analysis

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Design and implement efficient database schemas and data models using Teradata. Optimize SQL queries and stored procedures for performance. Perform database administration tasks including installation, configuration, and maintenance of Teradata systems Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences