Job description As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working 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 Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences 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. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythonscikit-learntensorflowpytorchkeras natural language processingneural networkspredictivehuggingfacemachine learningprototypeartificial intelligencesqlpandasdeep learningrjavacoboldata sciencematplotlibbig datastatistics

Job description 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 Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter Knowledge of Cloud, Power BI, Data migration on cloud skills. Experience in Unix shell scripting and python Experience with relational SQL, Big Data etc Preferred technical and professional experience Knowledge of MS-Azure Cloud Experience in Informatica PowerCenter Experience in Unix shell scripting and python Role: ETL Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills information managementdata warehousingbusiness intelligenceetldata integration pythondata managementinformatica powercenterpower birelational sqldata migrationazure cloudsqlunix shell scriptingjavaetl toolbig datainformaticaunix

Job description 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 seach 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 Your primary responsibilities include: Develop & maintain data pipelines for batch & stream processing using informatica power centre or cloud ETL/ELT tools. Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing and support UAT. Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter Knowledge of Cloud, Power BI, Data migration on cloud skills. Experience in Unix shell scripting and python Experience with relational SQL, Big Data etc Preferred technical and professional experience Knowledge of MS-Azure Cloud Experience in Informatica PowerCenter Experience in Unix shell scripting and python Role: ETL Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills information managementdata warehousingbusiness intelligenceetldata integration pythoninformatica powercenterpower birelational sqldata migrationazure cloudsqlelastic searchunix shell scriptingsplunkagilebig datainformatica

Job description 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 Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills snowflakesqlpipelinedata ingestionshell scripting pythondata managementperformance tuningtalenddata warehousingcloud platformswarehousedockeransibledatabase designelastic searchjavadevopssplunketlbig dataawsdata integration

Job description 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 Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills snowflakesqlpipelinedata ingestionshell scripting pythondata managementperformance tuningtalenddata warehousingcloud platformswarehousedockeransibledatabase designelastic searchjavadevopssplunketlbig dataawsdata integration

Job description Developer leads the cloud application development/deployment for client based on AWS development methodology, tools and best practices. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Mandatory Skills: 3-7+ years of proven hands-on, full-stack development expertise with OOP (e.g., C++, Java) programming language Demonstrated ability to build and deploy microservices in a scalable high throughput workflow. Experience with various JavaScript frameworks, including but not limited to Vue.js, React, and Angular. Ability to adapt to new frameworks and libraries as needed. Experience with messaging systems across application stack (e.g., Kafka) Comfortable working in an agile software delivery environment, with Git and with exposure to CI / CD tools (e.g., Github, Docker, Jenkins) Secondary (nice to have skills)Proficiency in developing, deploying, and troubleshooting applications in both Linux and Windows environments. This includes familiarity with command-line interface Preferred technical and professional experience None Role: Search Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills javalinuxoopsapplication troubleshootingjavascript continuous integrationcssc++ci/cdvue.jsbootstrapjquerydockermicroservicessqlspringreact.jsgitjenkinsmysqlgithubpythoncnetwork securityangularkafkatroubleshootingagileaws

Job description Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system. There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system. Preferred technical and professional experience Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills erwindata engineeringdata modelingmdmetl hivepythonoracledata analysisdata warehousingpower bimicrosoft azurebusiness intelligencesql serversqlplsqltableauunix shell scriptingsparkhadoopbig dataawsinformaticaunix

Job description Hands on Experience on SAP Business Technology Platform Development Suite Responsible to Handle BTP services and hands-on in iflows, workflow, process automation Will perform BTP based custom SAPUI5 development Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of relevant experience in SAP UX module. Hands-on experience in one or more of the BTP services and development expertise in Fiori/UI5, JAVA ,nodejs/python experience in one or more of the BTP services and hands-on in iflows, workflow, process automation. At least 2 years of hands-on experience in SAPUI5 development Preferred technical and professional experience Having good exposure on BTP based custom SAPUI5 development. BTP based application development using one or more of services like CAPM, Workflow Management etc. Good exposure to SAP BTP Business Technology Platform Integration Suite services Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: MS/M.Sc(Science) in Chemistry, Any Postgraduate, MCA in Computers Key Skills Skills highlighted with ‘‘ are preferred keyskills pythonnode.jsjavauisap fiori sapuxdata dictionaryadobe formssap sdsap implementationsap supportwebdynpro abapapplication developmentsap business workflowodatasap application developmentsapui5smartformssap abapsap hanaoo abap

Job description Lead the design, development, and deployment of scalable, secure backend systems using Java, J2EE, and GoLang. Architect and implement robust RESTful APIs and microservices aligned with enterprise cloud-native standards. Collaborate closely with DevOps, QA, and frontend teams to deliver end-to-end product functionality. Set coding standards, influence architectural direction, and drive adoption of best practices across backend systems. Own performance tuning, monitoring, and high availability for backend services using tools like Prometheus, ELK, and Grafana. Implement security, compliance, and privacy by design principles in backend systems. Lead incident response and resolution of complex production issues across multi-cloud environments (e.g., AWS, Azure, OCP). Mentor and guide junior developers and contribute to team-wide knowledge sharing and skill development. Actively participate in Agile ceremonies and contribute to continuous delivery and process improvement. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 11+ years of backend software development experience focused on scalable, secure, cloud-native enterprise systems. Deep expertise in Java, J2EE, and GoLang for building distributed backend systems. Advanced experience in architecting and implementing RESTful APIs, service meshes, and inter-service communication. Expert in Postgres or equivalent RDBMS — data modeling, indexing, and performance optimization at scale. Proven track record with microservices architecture, including Docker, Kubernetes, and service deployment patterns. Expert-level familiarity with backend-focused CI/CD tooling (Jenkins, GitLab CI/CD, ArgoCD) and IaC tools (Terraform, CloudFormation). Strong knowledge of monitoring/logging tools such as Prometheus, Grafana, ELK, and Splunk, focusing on backend telemetry and observability. Experience deploying applications on cloud platformsAWS (EKS, ECS, Lambda, CloudFormation), Azure, or GCP. Familiarity with DevSecOps, secure coding practices, and compliance-aware architecture for regulated environments. Proficient in integration, load, and unit testing using JMeter, RestAssured, JUnit, etc. Leadership in backend architecture, performance tuning, platform modernization, and mentoring of technical teams. Effective cross-functional collaboration skills in multi-team, multi-region environments. Preferred technical and professional experience Deep understanding of backend architecture patterns including microservices, event-driven architecture, and domain-driven design. Experience implementing security and privacy by design principles in cloud-native backend systems. Hands-on expertise with cryptographic protocols and standards such as TLS, FIPS, and experience integrating with Java security frameworks (e.g., JCE, Spring Security). Strong grasp of secure coding practices, with experience identifying and mitigating OWASP Top 10 vulnerabilities. Exposure to designing and developing shared platform services or backend frameworks reused across products or tenants (e.g., in multi-tenant SaaS environments). Familiarity with API security patterns, including OAuth2, JWT, API gateways (e.g., Kong, Apigee). Prior experience working on compliance-oriented systems (e.g., SOC2, HIPAA, FedRAMP) or architecting for high-assurance environments. Proficiency with Shell scripting, Python, or Node.js for infrastructure automation or backend utilities. Role: Search Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills restpythonjavascriptjavaj2ee architectingcontinuous integrationkubernetesrdbmssoftware developmentindexinggolangunit testingci/cddockermicroservicesnodepostgresqlsecure codinginfrastructurejenkinsshell scriptingprotocols

Job description 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 Role: Data warehouse Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills sqlelastic searchdata modelingsql queriessplunk data managementmanual testingdata warehousingplsqljavassrsmysqlhadoopbig dataetljirapythonsql developmentoracledata analysiswarehousesql servertableaussisawsinformaticaunix