42 Ibm Infosphere Jobs

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

Req ID: 310007 We are currently seeking a Digital Engineering Staff Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Data Modeler Position Overview: The Data Modeler will be responsible for designing and implementing data models that support the organization's data management and analytics needs. This role involves collaborating with various stakeholders to understand data sources, relationships, and business requirements, and translating them into effective data structures. Key Responsibilities: Collaborate with Business Analysts: Understand different data sources and their relationships. Prepare Conformed Dimension Matrix: Identify different grains of facts, finalize dimensions, and harmonize data across sources. Create Data Models: Develop Source to Target Mapping (STMs) documentation and custom mappings (both technical and non-technical). Include Transformation Rules: Ensure STMs include pseudo SQL queries for transformation rules. Coordinate Reviews: Work with Data Architects, Product Owners, and Enablement teams to review and approve models, STMs, and custom mappings. Engage with Data Engineers: Clarify any questions related to STMs and custom mappings. Required Technical Skills: Proficiency in SQL: Strong understanding of SQL and database management systems. Data Modeling Tools: Familiarity with tools such as ERwin, IBM InfoSphere Data Architect, or similar. Data Warehousing Concepts: Solid knowledge of data warehousing principles, ETL processes, and OLAP. Data Governance and Compliance: Understanding of data governance frameworks and compliance requirements. Key Competencies: Analytical Skills: Ability to analyze complex data sets and derive meaningful insights. Attention to Detail: Ensure accuracy and consistency in data models. Communication Skills: Effectively collaborate with stakeholders and articulate technical concepts to non-technical team members. Project Management Skills: Ability to prioritize tasks, manage timelines, and coordinate with cross-functional teams. Continuous Learning and Adaptability: Commitment to ongoing professional development and adaptability to changing business needs and technologies. Additional : Problem-Solving Abilities: Innovative solutions to data integration, quality, and performance challenges. Knowledge of Data Modeling Methodologies: Entity-relationship modeling, dimensional modeling, normalization techniques. Familiarity with Business Intelligence Tools: Enhance ability to design data structures that facilitate data analysis and visualization. Preferred Qualifications: Experience in SDLC: Understanding of all phases of the Software Development Life Cycle. Certifications: Relevant certifications in data modeling, data warehousing, or related fields.

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

Design, develop, and maintain applications using Java/J2EE and IBM Infosphere MDM Advanced Edition v11.x. Participate in development and support projects including fail & fix and maintenance activities. Collaborate with clients and internal teams to understand requirements and deliver solutions. Provide timely and effective support for multiple clients, ensuring quick resolution of issues. Engage directly with clients in a client-facing role, ensuring clear communication and understanding of business needs. Participate in on-call support and be flexible to extend support after hours when required. Follow software engineering best practices, including continuous integration and continuous delivery (CI/CD Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6+ years of hands-on experience in Java/J2EE technologies. 4+ years of hands-on development experience in IBM Infosphere MDM Advanced Edition v11.x. Strong understanding and practical experience with CI/CD tools and practices. Proven experience in development and support projects, including maintenance and issue resolution. Strong client interaction and communication skills, with experience in direct client-facing roles Preferred technical and professional experience Prior experience in the Banking domain or financial services industry. Exposure to Agile methodologies and collaborative development environments. Familiarity with other enterprise data management tools or technologies

Design, develop, and maintain applications using Java/J2EE and IBM Infosphere MDM Advanced Edition v11.x. Participate in development and support projects including fail & fix and maintenance activities. Collaborate with clients and internal teams to understand requirements and deliver solutions. Provide timely and effective support for multiple clients, ensuring quick resolution of issues. Engage directly with clients in a client-facing role, ensuring clear communication and understanding of business needs. Participate in on-call support and be flexible to extend support after hours when required. Follow software engineering best practices, including continuous integration and continuous delivery (CI/CD Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6+ years of hands-on experience in Java/J2EE technologies. 4+ years of hands-on development experience in IBM Infosphere MDM Advanced Edition v11.x. Strong understanding and practical experience with CI/CD tools and practices. Proven experience in development and support projects, including maintenance and issue resolution. Strong client interaction and communication skills, with experience in direct client-facing roles Preferred technical and professional experience Prior experience in the Banking domain or financial services industry. Exposure to Agile methodologies and collaborative development environments. Familiarity with other enterprise data management tools or technologies

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 : IBM InfoSphere DataStage Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education RoleTechnology Support Job TitleSenior DataStage Consultant Career Level08 Must have skills:Apache, Tomcat, IIS, IBM WebSphere Administration, IBM DataStage, Linux shell scripting Good to have skills:Teradata, RDBMS and SQL experience in Oracle, DB2 About The Role : Lead the effort to design, build and configure applications, acting as the primary point of contact.Job Summary The ETL Developer is responsible for L2-L3 production support , administration of DataStage Application, and designing, building, deploying and maintaining ETL DataStage interfaces using the IBM InfoSphere DataStage ETL development tool.Key Responsibilities1. Extend Production Support in L2 / L3 capacity. Being able to efficiently debug and troubleshoot production issues2. Evaluate existing data solutions, write scalable ETLs, develop documentation, and train/help team members.3. Collaborate and work with business/development teams and infrastructure teams on L3 issues and follow the task to completion.4. Participate & provide support for releases, risks, mitigation plan, and regular DR exercise for project roll out.5. Drive Automation, Permanent Fixes to prevent issues from reoccurring.6. Manage Service Level Agreements7. Bring continuous improvements to reduce time to resolve for production incidents8. Perform root cause analysis and identify and implement corrective and preventive measures9. Document standards, processes and procedures relating to best practices, issues and resolutions10. Constantly upskill with tools & technologies to meet organization's future needs11. Be available on call (on rotation) in a support role12. Effectively manage multiple, competing prioritiesTechnical Responsibilities: Excellent Understanding of technical concepts. Strong understanding of OS related dependencies Strong exposure to the shell scripting. Having expertise in any Cloud and Middleware technologies would be a great value add on Professional Attributes: Good verbal and written communication skills to connect with customers at varying levels of the organization Ability to operate independently and make decisions with little direct supervision Candidate must be willing to cross skill and up skill based on project and business requirements.Education Qualification: Higher Level Qualification in a technical subject is desirable IBM DataStage certification. Additional Information:A:Strong written & oral communication skills.B:Should be open to work in shifts. Qualification 15 years full time education

The IBM InfoSphere DataStage role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the IBM InfoSphere DataStage domain.

The IBM InfoSphere DataStage role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the IBM InfoSphere DataStage domain.

The IBM InfoSphere DataStage, Teradata role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the IBM InfoSphere DataStage, Teradata domain.

The IBM InfoSphere DataStage E3 role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the IBM InfoSphere DataStage E3 domain.

The IBM InfoSphere DataStage, Digital :Snowflake role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the IBM InfoSphere DataStage, Digital :Snowflake domain.

All applicants have to mandatorily apply on BNP Career Site- https://bwelcome.hr.bnpparibas/su/71c0c0e584f58f49 Job ID - 199841981 Applicants can directly search the JOB ID - 199841981 on https://bwelcome.hr.bnpparibas/su/71c0c0e584f58f49 and Apply on the same. Direct Responsibilities For a predefined applications scope take care of: Incidents Requests Changes Ensure that SLA targets are met for above activities Handover to Italian teams if knowledge and skills are not available in ISPL Coordinate closely with Rome IT Application Production Teams s and also all other BNL BNP Paribas IT teams (Incident coordination, Security, Infrastructure, Development teams, etc.) Contributing Responsibilities Contribute to the knowledge transfer with BNL Application Production team Contribute to the definition of procedures and processes necessary for the team Help build team spirit and integrate into BNL BNP Paribas culture Contribute to incidents analysis and associated problem management Contribute to the regular activity reporting and KPI calculation Contribute to continuous improvement actions, especially the lessons learned from handovers to Paris Contribute to the acquisition by ISPL team of new skills & knowledge to expand its scope Technical & Behavioral Competencies For the reinforcement of our team, we are looking for an Application Production Supports with these skills: 1. Infrastructure Administration Open Environment: Operating System : RedHat Linux 6.x, 7.x, 8.x AIX 7 System Scripting Familiarity with database technology is required: TERADATA 17.10 and 17.20 Familiarity with IBM InfoSphere Datastage technology is required: IBM InfoSphere Datastage 9.1 and 11.7 Installation, configuration, backup, Performance & Tuning Capability to execute and analyze scripts and complex queries General competences: 2. General IT infrastructure knowledge 3. Service Now ticketing system Specific Qualifications (if required) DATASTAGE: administrative management of the product and knowledge of the development part for reading logs and error management and their solutions. TERADATA: Knowledge of the TERADATA appliance in the administration part and the main features, knowledge of the Viewpoint and the BAR In-depth knowledge of SQL ANSI and TERADATA parser Basic knowledge of Italian language can be an advantage

Design, develop, and maintain applications using Java/J2EE and IBM Infosphere MDM Advanced Edition v11.x. Participate in development and support projects including fail & fix and maintenance activities. Collaborate with clients and internal teams to understand requirements and deliver solutions. Provide timely and effective support for multiple clients, ensuring quick resolution of issues. Engage directly with clients in a client-facing role, ensuring clear communication and understanding of business needs. Participate in on-call support and be flexible to extend support after hours when required. Follow software engineering best practices, including continuous integration and continuous delivery (CI/CD Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6+ years of hands-on experience in Java/J2EE technologies. 4+ years of hands-on development experience in IBM Infosphere MDM Advanced Edition v11.x. Strong understanding and practical experience with CI/CD tools and practices. Proven experience in development and support projects, including maintenance and issue resolution. Strong client interaction and communication skills, with experience in direct client-facing roles Preferred technical and professional experience Prior experience in the Banking domain or financial services industry. Exposure to Agile methodologies and collaborative development environments. Familiarity with other enterprise data management tools or technologies

We are looking for an experienced and highly skilled Data Architect with 5-7 years of expertise in Data Architecture, Data Governance, and Data Modeling to join our growing team This role involves designing and implementing comprehensive data solutions, ensuring data quality, consistency, and governance across the organization You will collaborate with various stakeholders to create robust data architectures, enforce data governance policies, and develop high-quality data models that support business intelligence and analytics. Responsibilities Design and implement enterprise-level data architectures to support business operations, analytics, and reporting needs. Ensure scalability, reliability, and security in data architecture solutions, optimizing for performance and efficiency. Work with data engineering teams to select the right data platforms, technologies, and methodologies for system design and development. Oversee the integration of various data sources into a centralized data repository, ensuring efficient data flow across systems. Develop and implement data governance frameworks and policies to ensure high-quality data management across the organization. Define and enforce standards for data security, privacy, and compliance (eg., GDPR, CCPA). Ensure data ownership, stewardship, and accountability are clearly defined. Monitor data usage and quality, identifying areas for improvement and ensuring data consistency across systems. Collaborate with business and IT teams to ensure data is trustworthy, accessible, and compliant with organizational policies. Create and maintain logical, physical, and conceptual data models for transactional and analytical databases. Develop complex data models that reflect business processes, ensuring alignment between technical and business needs. Use industry-standard methodologies to ensure data models are scalable, flexible, and efficient. Collaborate with cross-functional teams to validate data models and ensure alignment with business requirements and data strategy. Document and maintain metadata, schema definitions, and data dictionaries to ensure consistency and clarity. Design, implement, and optimize data architectures to support data integration, data analytics, and business intelligence. Lead efforts to establish data governance processes, policies, and practices across the organization. Implement data quality and consistency frameworks to ensure the integrity of the data across all platforms and systems. Work with stakeholders to gather and analyze business requirements and translate them into effective data architecture and modeling solutions. Provide expertise in selecting the appropriate tools and technologies for data storage, retrieval, and integration. Collaborate with data engineers, data analysts, and other teams to ensure effective data architecture implementation and governance. Document data models, architecture designs, and governance frameworks to maintain clarity and alignment with organizational objectives. Keep up to date with emerging data management trends and technologies, recommending innovative solutions to improve data quality and management. Requirements Bachelor's degree in Computer Science, Information Technology, Data Science, or related field (Master's degree preferred). 5-6 years of proven experience in Data Architecture, Data Governance, and Data Modeling. Strong hands-on experience with data modeling tools such as Erwin, IBM InfoSphere, Microsoft Visio, or similar tools. In-depth knowledge of data governance frameworks, including best practices and standards (e g., DAMA DMBOK). Proficient in data architecture principles, including designing scalable and high-performance data storage systems. Experience with SQL and NoSQL databases, data warehousing, ETL processes, and cloud-based platforms (AWS, Azure, or Google Cloud). Strong understanding of data privacy, security, and compliance standards (eg., GDPR, HIPAA, CCPA). Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus. Excellent communication skills to present complex data architecture concepts to both technical and non-technical stakeholders.

Responsible for the administration and maintenance of IBM DataStage environments to support enterprise data integration and analytics. 2–3years in IBM InfoSphere DataStage administration. Proficiency in UNIX/Linux and shell scripting.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : IBM InfoSphere DataStage Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with the team to develop and implement solutions, ensuring they align with business needs and standards. You will also engage with multiple teams, contribute to key decisions, and provide problem-solving solutions for your team and across multiple teams. With your creativity and expertise in IBM InfoSphere DataStage, you will play a crucial role in developing efficient and effective applications. 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. Design, develop, and test applications using IBM InfoSphere DataStage. Collaborate with business analysts and stakeholders to gather requirements. Ensure applications meet business process and application requirements. Troubleshoot and debug applications to resolve issues. Create technical documentation for reference and reporting purposes. Professional & Technical Skills: Must To Have Skills:Proficiency in IBM InfoSphere DataStage. Strong understanding of ETL concepts and data integration. Experience in designing and implementing data integration solutions. Knowledge of SQL and database concepts. Experience with data warehousing and data modeling. Good To Have Skills:Experience with IBM InfoSphere Information Server. Familiarity with other ETL tools such as Informatica or Talend. Additional Information: The candidate should have a minimum of 5 years of experience in IBM InfoSphere DataStage. This position is based at our Bengaluru office. A 15 years full time education is required. Qualifications 15 years full time education

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 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 Excellent analytical and problem-solving skills with a keen attention to detail Preferred technical and professional experience Strong verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders Ability to work collaboratively in a team environment and manage multiple projects simultaneously Knowledge of programming languages such as SQL

The impact you will have in this role: The Development family is responsible for creating, designing, deploying, and supporting applications, programs, and software solutions. May include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities related to software products used internally or externally on product platforms supported by the firm. The software development process requires in-depth subject matter expertise in existing and emerging development methodologies, tools, and programming languages. Software Developers work closely with business partners and / or external clients in defining requirements and implementing solutions.The Application Support Engineering role specializes in maintaining and providing technical support for all applications that are beyond the development stage and are running in the daily operations of the firm. Works closely with development teams, infrastructure partners, and internal / external clients to escalate and resolve technical support incidents. What You'll Do: Work locally and remotely with Mainframe DB2 team, area management, and related technical support groups in the process of engineering mainframe database solutions. Assisting application development teams using DB2 for z/OS with the following: Implementation of physical database design. Consulting on logical design questions, Creation and modification of databases structures Review performance of SQL in application programs Creating and modifying database indexes to improve application performance Assisting throughout the application development life cycle. Support database utilities used to load and unload data from DB2 databases Perform monitoring and performance tuning of DTCC applications using DB2 for z/OS. Document tuning efforts. Quantify impact of performance changes. Tune issues found during application development, during certification review, highlighted in the monthly performance reports, or when SLAs are close to being breached. Assist in the configuration and setup of distributed database connections using JDBC Provide support for Disaster Recovery tests, database infrastructure changes, application changes, and business operations. Automation of database support procedures and repetitive DBA tasks. Responsible for the integrity and security of data in these databases. Adhere to security controls for the DB2 database environment Participate in DB2 on-call and hot-line rotation. Monitors database activity and assist developers and business clients in the utilization of databases. Troubleshooting database and SQL related problems Support backup and recovery of DB2 databases Respond to alerts related to DB2 database environment. Education: Bachelor's degree or equivalent experience. Talents Needed for Success: Minimum of 6 years of related experience. Ability to work independently, with minimal supervision. Strong analytic and problem-solving skills. Ability to work on multiple projects simultaneously. Excellent communication (both written and verbal) and interpersonal skills. Requires hands-on expertise with DB2 for z/OS. Knowledge of SQL. Requires general knowledge and hands-on experience in all database disciplines related to DB2 for z/OS, including but not limited to, logical and physical database design, database implementation, access optimization, security, system and application performance management, and database systems administration. Experience with diverse workload of applications utilizing DB2 for z/OS including batch, RRS, CICS, WebSphere on z/OS and distributed platforms, JZOS, and java batch on distributed platforms is a plus. Experience in a DB2 data sharing environment is a plus. Knowledge of distributed database connectivity configuration and setup are a plus. Knowledge of third-party vendor software products that support DB2 for z/OS - BMC (database utilities, Catalog and Change Manager, SQL Explorer and Apptune) and CA Sysview are a plus. Experience with IBM Infosphere Data Replication (Q-Rep or CDC) is a plus. General z/OS skills in areas that including TSO/ISPF, JCL, RACF. REXX and ISPF/CLIST programing are a plus.

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 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 Excellent analytical and problem-solving skills with a keen attention to detail Preferred technical and professional experience Strong verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders Ability to work collaboratively in a team environment and manage multiple projects simultaneously Knowledge of programming languages such as SQL

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : IBM InfoSphere DataStage Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be involved in designing, building, and configuring applications to meet business process and application requirements. Your typical day will revolve around creating solutions that align with business needs and application specifications. 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 Lead the team in implementing innovative solutions Conduct regular team meetings to ensure project progress Stay updated on industry trends and technologies Professional & Technical Skills: Must To Have Skills: Proficiency in IBM InfoSphere DataStage Strong understanding of ETL processes Experience in data integration and transformation Knowledge of data warehousing concepts Hands-on experience in troubleshooting and debugging DataStage jobs Additional Information: The candidate should have a minimum of 5 years of experience in IBM InfoSphere DataStage This position is based at our Bengaluru office A 15 years full-time education is required Qualification 15 years full time education

We require for a CMM Level 5 Company in hyd - Full time-Work frm Office - general shift. Atleast 3 full client projects, & proficient in SDLC cycle of IBM MDM soft devp frm requirement to deployment - including SRS , coding, testing, user signoff. Required Candidate profile Atleast 5+ years exp good work environment excellent skills in RCA & User Management and Deployment Ready to join immediately or in max 30 days C2H position and will be onboarded in 6 months Perks and benefits best in industry

We require for a CMM Level 5 Company in hyd - Full time-Work frm Office - general shift. Atleast 3 full client projects, & proficient in SDLC cycle of IBM MDM soft devp frm requirement to deployment - including SRS , coding, testing, user signoff. Required Candidate profile Atleast 5+ years exp good work environment excellent skills in RCA & User Management and Deployment Ready to join immediately or in max 30 days C2H position and will be onboarded in 6 months Perks and benefits best in industry

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 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 Excellent analytical and problem-solving skills with a keen attention to detail Preferred technical and professional experience Strong verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders Ability to work collaboratively in a team environment and manage multiple projects simultaneously Knowledge of programming languages such as SQL