Skills Required : 4- 6 Years of experience in IT support roles, with a focus on desktop/technical support. Hands - on experience with Office 365 applications, including user account management. Experience in providing first-line technical support for hardware, software, and network issues. Handled support tickets promptly while maintaining high customer satisfaction. Document technical issues and solutions effectively in the ticketing system. Knowledge, support troubleshoot Microsoft Intune for mobile and endpoint device management. Collaborate with the IT team to enhance support processes and implement new technologies. Strong problem-solving skills and technical troubleshooting abilities. Familiarity with Windows and Mac operating systems. Excellent communication skills and ability to work in a team Requirements Assist employees with resolving basic technical problems on both Windows and Mac operating systems. Ensure devices comply with organizational security policies and best practices. Manage and Support Office 365 applications, including user account creation, configuration, and issue resolution. Assist users in setting up and using various Office 365 tools and applications. Respond to and resolve technical support tickets within established timeframes. Accurately document technical issues, resolutions, and ongoing challenges in the ticketing system. Maintain up-to-date knowledge of recurring issues and solutions for future reference. Install, configure, and upgrade desktop hardware and software as needed. Contribute to internal knowledge-sharing sessions and best practice guides . Administer and support Microsoft Intune for device management, application deployment. Stay up to date with the latest IT trends and technologies to recommend improvements. Collaborate with global team for IT support and closely work to resolve issues.

Key responsibilities for the Resourcing Manager include: Resourcing projects: Own & drive the resourcing of a wide range of client projects, in partnership with senior leaders in the business. Requires rapidly understanding the specific needs of each project, identifying & agreeing the right global team to deliver the project, & ensuring allocations are completed swiftly. At times, it requires complex problem-solving between multiple projects needs & resource availability. Allocation of individuals to projects: Manage the project allocations of individuals in the Chennai-based engineering team, across a range of seniority grades. Understanding of our team: Build a trusted relationship with, and detailed understanding of, each individual in our India-based team (e.g. their professional experience, capabilities, development objectives, and more). Swiftly match this nuanced understanding of individuals to project requirements in a fast-paced environment. Professional development: Support the ongoing professional development of all individuals in the India-based engineering team, in close partnership with the People team. Availability : Maintain a clear, detailed, up-to-date understanding of individual and cohort availability within our India-based consulting population, within a swiftly evolving context. Processes & metrics: Execute other key resourcing processes to support the above (e.g. resourcing of new joiners). Understand, monitor, and drive key metrics related to resourcing. Data and systems: Manage all India resourcing data, ensuring it is kept accurate & up to date in our system. Resourcing operations: Contribute to the development of JMAN’s resourcing operations and capability, in the context of an exciting, scaling organisation. This will include leading a series of change initiatives within resourcing (with support), from initial design through implementation. Opportunity to contribute expertise to future resourcing strategy, working closely with senior leadership. Resourcing team: Operate as a core member of JMAN’s global resourcing team, including coaching and supporting others. Collaboration: All above will require effective collaboration with client-facing engineers, consultants, as well as with all members of our global resourcing team. Desired Experience & Skills 7 to 10 Yrs. Experience in Resource or Staffing Management in a professional services firm or similar. Experience working in a high-level collaborative environment with a focus on teamwork. Ability to predict challenges and seek to proactively head-off obstacles. Strong written and verbal communication abilities in English and capable of effectively presenting ideas and engaging in social interactions. Truly aligned to JMAN values, with outstanding judgement. Positive, collaborative team member, with a ‘team-first’ attitude. Thrives amidst ambiguity and operates effectively within a fast-paced, rapidly evolving environment. Ability to build strong, trusted relationships with a wide range of senior and junior colleagues. Strengths in prioritisation, problem-solving and decision-making, within the context of resourcing. Proactive mindset, with enthusiasm and ability to take ownership while welcoming feedback/ input. Appetite for, and comfort with, simple data and analytics (e.g. % of resource pool available per week). Ability to work with data and systems is highly advantageous. Interest or experience related to any area of consulting, data, and/ or technology would be valuable but not essential. If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and we will discuss a suitable alternative with you during the interview process. JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs.

About the Role 7+ years of experience in managing Data & Analytics service delivery, preferably within a Managed Services or consulting environment. Responsibilities Serve as the primary owner for all managed service engagements across all clients, ensuring SLAs and KPIs are met consistently. Continuously improve the operating model, including ticket workflows, escalation paths, and monitoring practices. Coordinate triaging and resolution of incidents and service requests raised by client stakeholders. Collaborate with client and internal cluster teams to manage operational roadmaps, recurring issues, and enhancement backlogs. Lead a >40 member team of Data Engineers and Consultants across offices, ensuring high-quality delivery and adherence to standards. Support transition from project mode to Managed Services including knowledge transfer, documentation, and platform walkthroughs. Ensure documentation is up to date for architecture, SOPs, and common issues. Contribute to service reviews, retrospectives, and continuous improvement planning. Report on service metrics, root cause analyses, and team utilization to internal and client stakeholders. Participate in resourcing and onboarding planning in collaboration with engagement managers, resourcing managers and internal cluster leads. Act as a coach and mentor to junior team members, promoting skill development and strong delivery culture. Qualifications ETL or ELT: Azure Data Factory, Databricks, Synapse, dbt (any two – Mandatory). Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory). Data Visualization: Looker, Power BI, Tableau (Basic understanding to support stakeholder queries). Cloud: Azure (Mandatory), AWS or GCP (Good to have). SQL and Scripting: Ability to read/debug SQL and Python scripts. Monitoring: Azure Monitor, Log Analytics, Datadog, or equivalent tools. Ticketing & Workflow Tools: Freshdesk, Jira, ServiceNow, or similar. DevOps: Containerization technologies (e.g., Docker, Kubernetes), Git, CI/CD pipelines (Exposure preferred). Required Skills Strong understanding of data engineering and analytics concepts, including ELT/ETL pipelines, data warehousing, and reporting layers. Experience in ticketing, issue triaging, SLAs, and capacity planning for BAU operations. Hands-on understanding of SQL and scripting languages (Python preferred) for debugging/troubleshooting. Proficient with cloud platforms like Azure and AWS; familiarity with DevOps practices is a plus. Familiarity with orchestration and data pipeline tools such as ADF, Synapse, dbt, Matillion, or Fabric. Understanding of monitoring tools, incident management practices, and alerting systems (e.g., Datadog, Azure Monitor, PagerDuty). Strong stakeholder communication, documentation, and presentation skills. Experience working with global teams and collaborating across time zones.

We are hiring Interns for the IT Support position. Position: IT Support Intern Duration: 3months with Stipened(Will convert full time employee based on Performance) Interested can drop your profile to saravanan@jmangroup.com with the below details. Interested to work as Intern(YES/NO): Current Location:

Hiring HR Recruitment Intern, who has basic understanding of recruitment process. Duration: 3 Months with Stipened Interested can drop your profile to saravanan@jmangroup.com with the below details. Interested to work as Intern(YES/NO): Current Location:

About the Role 7+ years of experience in managing Data & Analytics service delivery, preferably within a Managed Services or consulting environment. Responsibilities Serve as the primary owner for all managed service engagements across all clients, ensuring SLAs and KPIs are met consistently. Continuously improve the operating model, including ticket workflows, escalation paths, and monitoring practices. Coordinate triaging and resolution of incidents and service requests raised by client stakeholders. Collaborate with client and internal cluster teams to manage operational roadmaps, recurring issues, and enhancement backlogs. Lead a >40 member team of Data Engineers and Consultants across offices, ensuring high-quality delivery and adherence to standards. Support transition from project mode to Managed Services including knowledge transfer, documentation, and platform walkthroughs. Ensure documentation is up to date for architecture, SOPs, and common issues. Contribute to service reviews, retrospectives, and continuous improvement planning. Report on service metrics, root cause analyses, and team utilization to internal and client stakeholders. Participate in resourcing and onboarding planning in collaboration with engagement managers, resourcing managers and internal cluster leads. Act as a coach and mentor to junior team members, promoting skill development and strong delivery culture. Qualifications ETL or ELT: Azure Data Factory, Databricks, Synapse, dbt (any two – Mandatory). Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory). Data Visualization: Looker, Power BI, Tableau (Basic understanding to support stakeholder queries). Cloud: Azure (Mandatory), AWS or GCP (Good to have). SQL and Scripting: Ability to read/debug SQL and Python scripts. Monitoring: Azure Monitor, Log Analytics, Datadog, or equivalent tools. Ticketing & Workflow Tools: Freshdesk, Jira, ServiceNow, or similar. DevOps: Containerization technologies (e.g., Docker, Kubernetes), Git, CI/CD pipelines (Exposure preferred). Required Skills Strong understanding of data engineering and analytics concepts, including ELT/ETL pipelines, data warehousing, and reporting layers. Experience in ticketing, issue triaging, SLAs, and capacity planning for BAU operations. Hands-on understanding of SQL and scripting languages (Python preferred) for debugging/troubleshooting. Proficient with cloud platforms like Azure and AWS; familiarity with DevOps practices is a plus. Familiarity with orchestration and data pipeline tools such as ADF, Synapse, dbt, Matillion, or Fabric. Understanding of monitoring tools, incident management practices, and alerting systems (e.g., Datadog, Azure Monitor, PagerDuty). Strong stakeholder communication, documentation, and presentation skills. Experience working with global teams and collaborating across time zones.

About the Role 7+ years of experience in managing Data & Analytics service delivery, preferably within a Managed Services or consulting environment. Responsibilities Serve as the primary owner for all managed service engagements across all clients, ensuring SLAs and KPIs are met consistently. Continuously improve the operating model, including ticket workflows, escalation paths, and monitoring practices. Coordinate triaging and resolution of incidents and service requests raised by client stakeholders. Collaborate with client and internal cluster teams to manage operational roadmaps, recurring issues, and enhancement backlogs. Lead a >40 member team of Data Engineers and Consultants across offices, ensuring high-quality delivery and adherence to standards. Support transition from project mode to Managed Services including knowledge transfer, documentation, and platform walkthroughs. Ensure documentation is up to date for architecture, SOPs, and common issues. Contribute to service reviews, retrospectives, and continuous improvement planning. Report on service metrics, root cause analyses, and team utilization to internal and client stakeholders. Participate in resourcing and onboarding planning in collaboration with engagement managers, resourcing managers and internal cluster leads. Act as a coach and mentor to junior team members, promoting skill development and strong delivery culture. Qualifications ETL or ELT: Azure Data Factory, Databricks, Synapse, dbt (any two – Mandatory). Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory). Data Visualization: Looker, Power BI, Tableau (Basic understanding to support stakeholder queries). Cloud: Azure (Mandatory), AWS or GCP (Good to have). SQL and Scripting: Ability to read/debug SQL and Python scripts. Monitoring: Azure Monitor, Log Analytics, Datadog, or equivalent tools. Ticketing & Workflow Tools: Freshdesk, Jira, ServiceNow, or similar. DevOps: Containerization technologies (e.g., Docker, Kubernetes), Git, CI/CD pipelines (Exposure preferred). Required Skills Strong understanding of data engineering and analytics concepts, including ELT/ETL pipelines, data warehousing, and reporting layers. Experience in ticketing, issue triaging, SLAs, and capacity planning for BAU operations. Hands-on understanding of SQL and scripting languages (Python preferred) for debugging/troubleshooting. Proficient with cloud platforms like Azure and AWS; familiarity with DevOps practices is a plus. Familiarity with orchestration and data pipeline tools such as ADF, Synapse, dbt, Matillion, or Fabric. Understanding of monitoring tools, incident management practices, and alerting systems (e.g., Datadog, Azure Monitor, PagerDuty). Strong stakeholder communication, documentation, and presentation skills. Experience working with global teams and collaborating across time zones.

Role & responsibilities Design and implement data pipelines using ETL/ELT tools and techniques. Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes. Develop and implement data quality checks and monitoring processes. Automate data platform deployments and operations using scripting and DevOps tools (e.g., Git, CI/CD pipeline). Ensuring compliance with data governance and security standards throughout the data platform development process. Troubleshoot and resolve data platform issues promptly and effectively. Collaborate with the Data Architect to understand data platform requirements and design specifications. Assist with data modelling and optimization tasks. Work with business stakeholders to translate their needs into technical solutions. • Document the data platform architecture, processes, and best practices. Stay up to date with the latest trends and technologies in full stack development, data engineering, and DevOps. Proactively suggest improvements and innovations for the data platform. Required Skillset ETL or ELT: AWS Glue/ Azure Data Factory/ Synapse/ Matillion/dbt. Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory). Data Visualization: Looker, Power BI, Tableau. SQL and Apache Spark / Python programming languages Containerization technologies (e.g., Docker, Kubernetes) Cloud Experience: AWS/Azure/GCP. Scripting and DevOps tools (e.g., Git, CI/CD pipeline) AWS Certification - AWS Foundational certificates or AWS Technical Certificates