DataOps Engineer - L2 Production Support

Req ID: 395364 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a DataOps Engineer - L2 Production Support to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Key Responsibilities

•             Provide L2 production support for enterprise data pipelines, ETL/ELT workloads and Data Ops environments running on GCP.

•             Monitor production pipelines and proactively identify job failures, processing delays, data issues and infrastructure/service problems.

•             Troubleshoot and resolve Apache Airflow DAG failures, including task failures, dependencies, scheduling and execution issues.

•             Troubleshoot applications and workloads deployed on Google Kubernetes Engine (GKE).

•             Support and troubleshoot Cloud Run services and associated integrations.

•             Diagnose data and application issues involving Cloud SQL and Big Query.

•             Analyse and troubleshoot Python-based data pipelines, scripts and services to identify production defects and processing failures.

•             Perform SQL-based data analysis, validation and reconciliation during incident investigation.

•             Handle production incidents and service requests in accordance with defined SLA and support processes.

•             Perform initial root-cause analysis and coordinate with L3/engineering teams for issues requiring code or architectural changes.

•             Monitor application and infrastructure logs, alerts and operational dashboards.

•             Maintain and improve runbooks, troubleshooting guides and operational documentation.

•             Support problem management, RCA documentation and continuous improvement of production-support processes.

Required Skills

•             4+ years of experience supporting production data platforms, Data Ops, ETL/ELT or enterprise data-processing environments.

•             Strong hands-on production-support experience with Google Cloud Platform (GCP).

•             Strong working knowledge of Google Kubernetes Engine (GKE) and Kubernetes troubleshooting.

•             Strong hands-on experience supporting Apache Airflow and troubleshooting DAG/task failures.

•             Experience supporting Cloud Run services.

•             Experience with Cloud SQL, including SQL-based troubleshooting.

•             Good working knowledge of Big Query, including query and data troubleshooting.

•             Strong working knowledge of Python, with the ability to read, debug and troubleshoot Python-based data pipelines.

•             Strong SQL skills for production investigation and data validation.

•             Experience analysing application, pipeline and infrastructure logs, alerts and monitoring metrics.

•             Understanding of ETL/ELT pipelines, dependencies, scheduling, retries and data-processing patterns.

•             Willingness to work in a production-support environment, including shift/on-call coverage as applicable.

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. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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