Overview

TechOps-D and A-Monitoring Engineer-Staff-GDSN02

Responsibilities

• Perform L1 monitoring and support for batch data pipelines and DnA applications on Azure, ensuring timely detection and resolution of issues
• Execute standard recovery actions (job reruns, service restarts) based on approved runbooks
• Participate in daily operational calls / stand-ups and provide status updates
• Track recurring issues and highlight them to senior team members for permanent fixes
• Support post-deployment monitoring to ensure stability after releases
• Coordinate with upstream/downstream teams to track and resolve data delays or failures
• Handle incident triage, perform initial diagnosis, provide timely updates, and elevate critical issues as per defined SLAs
• Support 24x7 monitoring operations by working in shifts and ensuring proper coverage and handovers
• Follow defined processes, governance guidelines, and ensure proper usage of tools and access controls
• Continuously learn monitoring tools, troubleshooting techniques, and support best practices
• Basic to good understanding of monitoring Azure-based DnA platforms (ADF, Data Lake, Databricks, Informatica CDI) with a focus on batch and application operations
• Hands-on experience in working with monitoring dashboards and observability tools
• Understanding of 24x7 support environments and ability to work in shift-based models
• Good troubleshooting and analytical skills for initial diagnosis of issues and identifying recurring patterns
• Basic understanding of batch processing workflows, job dependencies, and scheduling concepts
• Ability to handle alerts, prioritize incidents, and follow escalation processes in a timely manner
• Familiarity with monitoring tools, alerting systems, and basic log analysis
• Good communication skills to coordinate with team members and stakeholders
• Willingness to learn new tools, technologies, and support processes in a fast-paced environment
• Bachelor’s degree in computer science, Data Analytics, or a related field, or equivalent practical experience
• 2-4 years of experience in data operations, production support, or monitoring of DnA/data platforms
• Hands-on or working experience with Azure Data Factory, Azure Data Lake, Databricks, or similar data platforms
• Basic experience in monitoring and supporting batch workflows and data pipelines
• Familiarity with monitoring tools, logging, and basic observability practices
• Understanding of incident management, alert handling, and escalation processes
• Exposure to working in 24x7 support models or willingness to work in shift-based environments
• Basic understanding of batch job scheduling, dependencies, and production support processes
• Basic scripting knowledge (Python/PySpark or similar) is a plus
• Good communication skills for coordination with team members and stakeholders
• Ability to work in a team-oriented and fast-paced environment

Qualifications

• Hands-on or working experience in monitoring and supporting Azure services such as Azure Data Factory, Data Lake, Synapse, and Databricks batch workflows.
• Experience in using monitoring and dashboarding tools like Azure Monitor, Log Analytics, Power BI, Grafana, or similar
• Basic understanding of observability concepts, alerting mechanisms, and log analysis
• Good troubleshooting skills for identifying and analyzing issues in data pipelines with support from senior team members
• Good SQL knowledge for data validation and issue analysis
• Experience or exposure to incident management, L1 triage, and coordination with L2/L3 teams
• Understanding of working in a 24x7 support environment and handling alerts/tickets as per SLAs
• Experience supporting data integrations from ERP, CRM, POS systems, Insurance Policy Admin Systems (PAS), Claims, Underwriting, or third-party APIs.
• Basic exposure to supporting data integrations from systems like ERP, CRM, POS, or APIs
• Awareness of monitoring concepts, alerting, or automation basics (AIOps exposure is a plus)
• Basic understanding of DevOps / CI-CD concepts
• Exposure to working in data or analytics environments
• Relevant certifications such as:
• Microsoft Certified: Azure Data Engineer Associate
• Azure Monitor / Observability related certifications
• Databricks Certified Data Engineer
• Strong sense of ownership and responsibility in handling monitoring tasks and ensuring timely issue resolution
• Proactive mindset to identify issues early and follow defined monitoring and alerting practices
• Willingness to learn and grow in monitoring, troubleshooting, and support operations
• Good team player who can collaborate with cross-functional teams in a support environment
• Ability to follow processes, runbooks, and SOPs with attention to detail
• Basic problem-solving skills with an interest in improving monitoring and operational efficiency
• Good communication skills for clear updates and coordination during incidents
• Ability to work effectively in a 24x7 shift-based support environment

Benefits

• At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
• To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability‑related adjustments or accommodations you may need.
• Our Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost.
• Professional Development: From entry‑level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.
• People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We’re united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.
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• EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets.
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• EY | Building a better working world