IT IS_AMS_Mainframe_DB2 Administration (DB2 LUW(Linux Unix Windows ) Admin profiles , Not mainframe DB2 profiles .)
DB2 LUW(Linux Unix Windows ) Admin profiles , Not mainframe DB2 profiles .
We are looking for a highly skilled DB2 LUW DBA with automation knowledge to join our team. The successful candidate will be responsible for maintaining and optimizing our DB2 database systems to ensure maximum uptime, performance, and data security. Additionally, they will be responsible for automating routine database tasks to improve operational efficiency.
Key Responsibilities:
• Include installation, configuration, performance tuning, backup and recovery, patching, upgrades, and disaster recovery planning. The role also requires collaborating with other teams, automating tasks, and maintaining documentation
• Stay up-to-date with emerging trends and technologies in database administration and automation
Flexible with shifts
Requirements:
• Strong knowledge of database backup and recovery, database security, and disaster recovery
• Experience with automation tools such as Shell Scripting or other scripting languages
• Good understanding of database performance tuning and optimization techniques
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team
• Strong communication and interpersonal skills
Responsibilities
DB2 LUW(Linux Unix Windows ) Admin profiles , Not mainframe DB2 profiles .
We are looking for a highly skilled DB2 LUW DBA with automation knowledge to join our team. The successful candidate will be responsible for maintaining and optimizing our DB2 database systems to ensure maximum uptime, performance, and data security. Additionally, they will be responsible for automating routine database tasks to improve operational efficiency.
Key Responsibilities:
• Include installation, configuration, performance tuning, backup and recovery, patching, upgrades, and disaster recovery planning. The role also requires collaborating with other teams, automating tasks, and maintaining documentation
• Stay up-to-date with emerging trends and technologies in database administration and automation
Flexible with shifts
Requirements:
• Strong knowledge of database backup and recovery, database security, and disaster recovery
• Experience with automation tools such as Shell Scripting or other scripting languages
• Good understanding of database performance tuning and optimization techniques
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team
• Strong communication and interpersonal skills
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :IT IS_AMS_Mainframe_DB2 Administration (DB2 LUW(Linux Unix Windows ) Admin profiles , Not mainframe DB2 profiles .)
1. Minimum 8 years of experience in AIML development, building and deploying intelligent systems.
2. Demonstrated hands-on experience with Microsoft Azure OpenAI service, including API Integration and model development.
3. Strong practical experience working with Large Language Models (LLMs), including prompt engineering.
4. Expert-level proficiency in Python, including experience with relevant AIML libraries.
5. Proven experience in developing robust testing capabilities for AI models and applications, including automated testing.
6. Solid understanding of cloud computing concepts and experience deploying applications on Azure.
Preferred Skills:
1. Experience building and deploying multi-agent systems.
2. Knowledge of reinforcement learning, control theory, or planning algorithms.
3. Familiarity with vector databases and Retrieval-Augmented Generation (RAG) techniques.
4. Experience with containerization (Docker) and orchestration (Kubernetes).
5. Contributions to open-source agentic AI projects.
6. Understanding of webhooks, APIs, and integration patterns for external tools.
Responsibilities
1. Minimum 8 years of experience in AIML development, building and deploying intelligent systems.
2. Demonstrated hands-on experience with Microsoft Azure OpenAI service, including API Integration and model development.
3. Strong practical experience working with Large Language Models (LLMs), including prompt engineering.
4. Expert-level proficiency in Python, including experience with relevant AIML libraries.
5. Proven experience in developing robust testing capabilities for AI models and applications, including automated testing.
6. Solid understanding of cloud computing concepts and experience deploying applications on Azure.
Preferred Skills:
1. Experience building and deploying multi-agent systems.
2. Knowledge of reinforcement learning, control theory, or planning algorithms.
3. Familiarity with vector databases and Retrieval-Augmented Generation (RAG) techniques.
4. Experience with containerization (Docker) and orchestration (Kubernetes).
5. Contributions to open-source agentic AI projects.
6. Understanding of webhooks, APIs, and integration patterns for external tools.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : Microsoft Azure, Digital: Python, Digital: Machine Learning, Digital: Artificial Intelligence(AI)
BPS: Data moduler
ob Description:
Key responsibilities
You will be responsible for · Defining the data architecture framework covering data modelling, security, virtualization, governance, reference and master data, data visualization · Defining reference architecture and patterns that others can follow to create and improve data systems aligning with industry standards · Designing data models leveraging ER, Dimensional and Data vault modelling technique. · Designing data security and controls to address customer’s data privacy needs inline to current regulations such as GDPR, CCPA etc. · Designing technical solutions leveraging data virtualization techniques and tools such as Denodo etc. · Collaborating and coordinating with multiple departments, senior stakeholders including C level, partners, and external vendors · Designing architecture solutions that are in line with business objectives · Providing technical leadership, oversight, and direction to project / execution team · Building effective relationships with customers, CoE, partners and vendors · You will be responsible for verifying requirements, Data solution architecture & design assurance, developing a delivery plan, providing thought leadership for all data solutions, including designing and development that meet and exceed customer expectations. · Analyzing and translating business needs into long-term solution data models · Developing best practices for data modeling to ensure consistency within the data landscape · To be successful in this role, you will be experienced with the Cloud-based data Solution Architectures, Software Development Life Cycle (including both Agile & Waterfall), Data Engineering and ETL tools/platforms, and data modeling practices. · Be a close partner & collaborate with data engineers, developers, DevOps Engineers, Data scientists, and technical leads to build data pipelines, develop feedback loops to improve data quality, data ingestion, data streaming, workflows, data transformation jobs automation. · Design, build, test and Deploy Data pipelines and blueprints at scale. · Design data-driven product and solution framework in collaboration with enterprise data architects and cloud solution architects. · Excellent Code review, Code Quality, Data & application security experience. · Drive productivity and stability while accelerating time-to-market through automation of the software lifecycle. · Drive continuous quality, stability, and compliance to reduce risk · Automate and orchestrate releases at scale. · Measure, track and improve software delivery. Increase efficiency and reduce risks associated with software deliver.
Key Skills/Knowledge: · Bachelor's/Master’s degree in a relevant field – (e.g. Computer Science, Software engineering, Data Science, AI/ML). · 7+ years of experience Developing, deploying, and monitoring end to end data and analytics solutions with extensive knowledge of evaluation metrics and best practices. · 7+ years Data Warehouse/Data Lake Architecture and Development. · 5+ years Data Modeling & Architecture with experience in implementing at least one market leading banking and financial services data model i.e. from Oracle, Teradata, IBM · Experience on data modelling tools such as Erwin, ER Studio, SQL modeler is preferred · Experience in ETL/ELT, data Pipelines, Data Quality, blueprints development. · Non-Relational Database experience (Document DB, Graph DB, etc.) · Understanding of data structures, data modeling and data architecture · Strong communication skills and ability to work with ambiguity. · Able to provide direction/support to data modelling team members. · Strong architectural knowledge for data analytics systems patterns and their pros and cons. · Strong knowledge of data quality, metadata management, security frameworks / tools implemented for data on cloud architecture · Skillful resource to understand customer needs and provide target solutions, which is scalable, reliable, and highly available.
Responsibilities
ob Description:
Key responsibilities
You will be responsible for · Defining the data architecture framework covering data modelling, security, virtualization, governance, reference and master data, data visualization · Defining reference architecture and patterns that others can follow to create and improve data systems aligning with industry standards · Designing data models leveraging ER, Dimensional and Data vault modelling technique. · Designing data security and controls to address customer’s data privacy needs inline to current regulations such as GDPR, CCPA etc. · Designing technical solutions leveraging data virtualization techniques and tools such as Denodo etc. · Collaborating and coordinating with multiple departments, senior stakeholders including C level, partners, and external vendors · Designing architecture solutions that are in line with business objectives · Providing technical leadership, oversight, and direction to project / execution team · Building effective relationships with customers, CoE, partners and vendors · You will be responsible for verifying requirements, Data solution architecture & design assurance, developing a delivery plan, providing thought leadership for all data solutions, including designing and development that meet and exceed customer expectations. · Analyzing and translating business needs into long-term solution data models · Developing best practices for data modeling to ensure consistency within the data landscape · To be successful in this role, you will be experienced with the Cloud-based data Solution Architectures, Software Development Life Cycle (including both Agile & Waterfall), Data Engineering and ETL tools/platforms, and data modeling practices. · Be a close partner & collaborate with data engineers, developers, DevOps Engineers, Data scientists, and technical leads to build data pipelines, develop feedback loops to improve data quality, data ingestion, data streaming, workflows, data transformation jobs automation. · Design, build, test and Deploy Data pipelines and blueprints at scale. · Design data-driven product and solution framework in collaboration with enterprise data architects and cloud solution architects. · Excellent Code review, Code Quality, Data & application security experience. · Drive productivity and stability while accelerating time-to-market through automation of the software lifecycle. · Drive continuous quality, stability, and compliance to reduce risk · Automate and orchestrate releases at scale. · Measure, track and improve software delivery. Increase efficiency and reduce risks associated with software deliver.
Key Skills/Knowledge: · Bachelor's/Master’s degree in a relevant field – (e.g. Computer Science, Software engineering, Data Science, AI/ML). · 7+ years of experience Developing, deploying, and monitoring end to end data and analytics solutions with extensive knowledge of evaluation metrics and best practices. · 7+ years Data Warehouse/Data Lake Architecture and Development. · 5+ years Data Modeling & Architecture with experience in implementing at least one market leading banking and financial services data model i.e. from Oracle, Teradata, IBM · Experience on data modelling tools such as Erwin, ER Studio, SQL modeler is preferred · Experience in ETL/ELT, data Pipelines, Data Quality, blueprints development. · Non-Relational Database experience (Document DB, Graph DB, etc.) · Understanding of data structures, data modeling and data architecture · Strong communication skills and ability to work with ambiguity. · Able to provide direction/support to data modelling team members. · Strong architectural knowledge for data analytics systems patterns and their pros and cons. · Strong knowledge of data quality, metadata management, security frameworks / tools implemented for data on cloud architecture · Skillful resource to understand customer needs and provide target solutions, which is scalable, reliable, and highly available.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Own the quality of a given product or group of products in the programmer, through test development, execution and defect resolution
Refine and expand scope through assessment of broader project goals, notably horizontal requirements, as well as previous testing efforts and testing best practices
Develop test requirements, scenarios and cases as necessary from multiple sources, including use cases and any specifications
Good experience of Front end automation using any tool , having backend automation.
Responsibilities
Own the quality of a given product or group of products in the programmer, through test development, execution and defect resolution
Refine and expand scope through assessment of broader project goals, notably horizontal requirements, as well as previous testing efforts and testing best practices
Develop test requirements, scenarios and cases as necessary from multiple sources, including use cases and any specifications
Good experience of Front end automation using any tool , having backend automation.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
