NTT DATA – Support Engineer (L1 Support)

Job Description

NTT DATA is hiring for the position of Support Engineer (L1 Support) in Bangalore, offering an excellent opportunity for technology professionals interested in production support, cloud technologies, data engineering platforms, and IT operations. As one of the world’s leading technology services and digital transformation companies, NTT DATA delivers innovative solutions across cloud computing, artificial intelligence, cybersecurity, analytics, and enterprise applications. This role is ideal for candidates who enjoy monitoring mission-critical systems, resolving technical incidents, and ensuring uninterrupted business operations. Working in a fast-paced support environment, the selected candidate will contribute directly to maintaining the reliability and performance of enterprise data platforms used by global clients.

The Support Engineer will be responsible for monitoring production data pipelines and cloud-based applications operating on platforms such as Azure Data Factory (ADF), Azure SQL, Databricks, Snowflake, and Power BI. The role requires continuous system monitoring, incident management, troubleshooting, and execution of recovery procedures to minimize service disruptions. As the first line of technical support, the engineer will perform incident triage, classify issues based on severity levels, and ensure proper escalation when required. This position provides valuable exposure to modern cloud ecosystems, enterprise data infrastructure, and real-time operational support processes that are critical for large-scale digital environments.

Beyond technical support responsibilities, the role offers opportunities for professional growth within a globally recognized technology organization. NTT DATA encourages continuous learning, collaboration, and innovation while supporting employees with exposure to cutting-edge technologies and enterprise-scale operations. Candidates will strengthen their expertise in cloud platforms, production support methodologies, IT service management, and incident response practices. For individuals seeking to build a long-term career in cloud operations, site reliability engineering, data platform support, or IT infrastructure management, this role provides an excellent foundation and significant growth potential.

Roles & Responsibilities

1. Monitor production data pipelines and enterprise systems on a 24x7 basis to ensure high availability, reliability, and operational stability.
2. Perform initial incident triage and accurately classify issues based on business impact, severity levels, and predefined support procedures.
3. Investigate, troubleshoot, and resolve production incidents affecting Azure Data Factory, Azure SQL, Databricks, Snowflake, and Power BI environments.
4. Execute documented runbooks, recovery procedures, and operational guidelines to restore services and minimize downtime.
5. Maintain accurate incident records, update support tickets, and provide timely status updates to stakeholders and management teams.
6. Collaborate with Level 2 and Level 3 support teams by providing detailed diagnostic information and escalation summaries.
7. Monitor application health, data processing workflows, system performance metrics, and service alerts to proactively identify potential issues.
8. Support root cause analysis activities by collecting logs, system data, and relevant technical information for incident investigations.
9. Ensure adherence to service level agreements (SLAs) and operational standards while delivering high-quality support services.
10. Participate in rotational shifts and provide support coverage across global operations in a 24x7 production environment.
11. Contribute to process improvements, automation opportunities, and operational efficiency initiatives within the support function.
12. Maintain knowledge of emerging technologies, cloud services, and enterprise support best practices to improve troubleshooting effectiveness.

Requirements & Eligibility

1. Candidates should possess a Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical discipline.
2. Knowledge or hands-on experience with Azure Data Factory (ADF), Azure SQL Database, Databricks, Snowflake, and Power BI is highly desirable.
3. Understanding of production support processes, incident management, monitoring tools, and IT operations is preferred.
4. Familiarity with cloud computing concepts, data pipelines, ETL processes, and enterprise data platforms will be advantageous.
5. Basic knowledge of SQL queries, database management, and data troubleshooting techniques is required.
6. Strong analytical thinking and problem-solving abilities are essential for diagnosing and resolving technical incidents efficiently.
7. Experience working with ticketing systems, service management tools, and incident tracking platforms is beneficial.
8. Excellent verbal and written communication skills are necessary for coordinating with stakeholders and technical teams.
9. Candidates must be comfortable working in a 24x7 rotational shift environment and handling time-sensitive production issues.
10. A proactive attitude, willingness to learn, attention to detail, and strong ownership mindset are important qualities for success in this role.

Expected Salary

The expected salary for a Support Engineer (L1 Support) at NTT DATA in Bangalore typically ranges between ₹4.5 LPA and ₹8 LPA, depending on technical expertise, cloud platform knowledge, support experience, and interview performance. Candidates with exposure to Azure services, Databricks, Snowflake, Power BI, and enterprise production support environments may receive compensation toward the higher end of the range. In addition to salary, employees gain valuable experience working with large-scale cloud infrastructure, global support operations, and advanced enterprise technologies that support long-term career growth.

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