Bigdata Support -Sourcing Team Q1 26

Key Responsibilities:

• Provide L2/L3 production support for big data platforms and applications, ensuring high availability and performance.

• Monitor, troubleshoot, and resolve issues related to big data jobs, data pipelines, and batch workloads using ESP or similar schedulers.

• Manage incidents, problems, and service requests through Service Now, adhering to defined SLAs and escalation procedures.

• Apply ITIL best practices for incident, problem, change, and release management within the big data environment.

• Perform root cause analysis for recurring issues and implement permanent corrective actions to improve platform stability.

• Collaborate with data engineering, infrastructure, and application teams to deploy fixes, enhancements, and configuration changes.

• Participate in change advisory processes, assess risks, and support planned maintenance and releases on big data systems.

• Maintain and update support documentation, runbooks, and knowledge base articles for common issues and procedures.

• Proactively identify performance bottlenecks, capacity risks, and operational gaps, and recommend improvements.

• Provide on-call support as required, including support during off-hours for critical incidents and scheduled activities.

Minimum Qualifications:

• Bachelor’s degree in Engineering, Computer Science, or related field (B.Tech or equivalent).

• 5–8 years of hands-on experience in production support or operations for big data platforms or large-scale data systems.

• Strong working knowledge of big data ecosystems and related operational concepts (job monitoring, data pipelines, batch processing).

• Proven experience working within ITIL frameworks, including incident, problem, and change management processes.

• Practical experience using Service Now (or similar ITSM tools) for ticketing, workflow, and SLA management.

• Experience supporting and monitoring workloads scheduled through ESP or equivalent enterprise schedulers.

• Solid troubleshooting skills with the ability to analyze logs, identify patterns, and resolve production issues under time pressure.

Good to have skills:
Monitoring tools (e.g., Splunk, Dynatrace, App Dynamics), Shell scripting, SQL, Linux/Unix administration, Cloud platforms (AWS/Azure/GCP)

• Knowledge of more than one technology
• Basics of Architecture and Design fundamentals
• Knowledge of Testing tools
• Knowledge of agile methodologies
• Understanding of Project life cycle activities on development and maintenance projects
• Understanding of one or more Estimation methodologies, Knowledge of Quality processes
• Basics of business domain to understand the business requirements
• Analytical abilities, Strong Technical Skills, Good communication skills
• Good understanding of the technology and domain
• Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
• Awareness of latest technologies and trends
• Excellent problem solving, analytical and debugging skills

Education: MCA,MTech,Bachelor of Engineering,BTech

• Preferred skills: Technology->Big Data->Big Data
• ALL,Foundational->Service Management->Service Design->ITIL