Data Engineer - AMS Data Platform Operations

NTT DATA Global Delivery Services Ltd; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

NTT DATA is seeking an AMS Data Platform Operations Engineer in Bengaluru to support a 24/7 global data platform on Databricks, Talend, and Azure. You will monitor data pipelines, troubleshoot ETL/ELT flows, and coordinate incident response with global teams.

The role emphasizes production support, log analysis with Kibana, and ensuring platform reliability while maintaining SLA adherence. Strong SQL and Spark skills are essential, along with effective communication in English.

Qualifications

• 5+ years of relevant experience in data operations and platform support.
• Experience operating Databricks, Talend clusters on Azure, and Spark-based jobs.

Responsibilities

• Provide Level 2/3 AMS support for a 24/7 global Data Platform.
• Monitor data pipelines, notebooks, and data jobs on Databricks and Talend.
• Troubleshoot Spark jobs, SQL, REST APIs, and data ingestion flows.
• Investigate incidents, analyze logs and metrics using Kibana and other tools.
• Coordinate with global teams for incident management and root cause analysis.

Skills

Databricks

Talend ETL

Apache Spark

SQL

Azure

Kibana

REST APIs

Incident analysis

Data pipelines

Troubleshooting

Power BI

English communication

Tools

Databricks

Talend

Azure

MongoDB

Power BI

Kibana

REST APIs

Job description

Data Engineer Req ID: 381034 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a Data Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

AMS Data Platform Operations Engineer

AMS Data Platform Operations Engineer We are looking for an AMS Data Platform Operations Engineer to support a global ApplicationManagement Support service for an enterprise Data Platform based on Databricks . The service operates on a 24/7 global support model and covers both User Support and OperationsSupport , ensuring platform availability, process continuity, and timely resolution of incidents andservice requests across the data ecosystem.

Role Overview

Role Overview The selected candidate will be responsible for the operational monitoring, technical support, andtroubleshooting of data pipelines, ETL/ELT processes, orchestration workflows, and platformcomponents running across Databricks , Talend , and the related Azure-based infrastructure. The role requires strong hands‑on experience in data operations, monitoring, incident analysis, andtechnical support for business-critical data platforms.

Key Responsibilities

• Provide Level 2 / Level 3 AMS support for a global Data Platform operating 24/7.
• Monitor and support scheduled jobs, workflows, notebooks, and data pipelines on Databricks .
• Monitor and manage ETL orchestration processes developed with Talend 8 .
• Perform operational support activities on Talend clusters hosted on Microsoft Azure .
• Investigate incidents related to failed jobs, data processing errors, performance issues, connectivity problems, and platform unavailability.
• Analyze logs and metrics using Kibana and other monitoring tools.
• Troubleshoot Spark jobs, SQL queries, REST API integrations, and data ingestion flows.
• Support data validation and reconciliation activities across platform components.
• Interact with business users, data engineers, application owners, and global support teams to manage incidents, requests, and escalations.
• Execute standard operating procedures, runbooks, restart procedures, and recovery actions.
• Contribute to root cause analysis and problem management activities.
• Identify recurring issues and propose automation, monitoring, or process improvements.
• Support Power BI dashboard-related issues, including data availability, refresh failures, and connectivity troubleshooting.
• Ensure service continuity in line with agreed SLAs, operational KPIs, and escalation procedures.

Technical Skills

• 5+ years of relevant experience.
• Strong hands‑on experience with Databricks .
• Good knowledge of Talend 8 , especially for ETL orchestration and job scheduling.
• Experience with Apache Spark and distributed data processing.
• Advanced SQL skills for analysis, troubleshooting, and data validation.
• Experience with Microsoft Azure , preferably in relation to data platforms and cluster operations.
• Knowledge of MongoDB for data storage and troubleshooting.
• Familiarity with Power BI , especially dashboard refresh, semantic model connectivity, and data issue analysis.
• Experience using Kibana for log analysis, monitoring, and incident investigation.
• Understanding of REST APIs , authentication mechanisms, integrations, and error handling.
• Good understanding of data pipelines, batch processing, ETL/ELT flows, job dependencies, and scheduling mechanisms.
• Familiarity with ITSM processes such as incident, request, change, and problem management.

Operational Requirements

• Availability to work within a 24/7 global support model , including shifts, on‑call coverage, orfollow‑the‑sun support, depending on the service organization.
• Ability to operate in production‑critical environments with strict SLA requirements.
• Strong troubleshooting mindset and ability to work under pressure during major incidents.
• Ability to document incidents, actions performed, root causes, and recovery procedures.
• Good communication skills in English, both written and spoken.
• Experience working with distributed international teams.

Nice to Have

• Experience with automation of operational tasks.
• Knowledge of CI/CD practices for data platforms.
• Experience with Azure monitoring services.
• Knowledge of data governance, data quality, and security principles.
• Previous experience in global AMS or managed service environments.

Mission of the Role

Mission of the Role The AMS Data Platform Operations Engineer will ensure the stability, reliability, and operational continuity of the enterprise Data Platform, supporting users and technical teams while proactively monitoring and resolving issues across Databricks, Talend, Azure, and the connected data landscape.

About NTT DATA

About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start‑up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

Equal Opportunity Statement

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .