Join NTT DATA as a DataOps Engineer - L2 Production Support and play a crucial role in maintaining enterprise data pipelines and DataOps environments on Google Cloud Platform (GCP). This role involves proactive monitoring, troubleshooting, and resolution of issues to ensure seamless data operations. We are looking for skilled individuals passionate about innovation and growth within a dynamic, inclusive organization.

Key responsibilities include providing L2 production support for enterprise data pipelines, ETL/ELT workloads, and DataOps environments on GCP. You will monitor production pipelines, identify and resolve job failures, processing delays, and data or infrastructure issues. This involves troubleshooting Apache Airflow DAGs, Google Kubernetes Engine (GKE) applications, Cloud Run services, and resolving data discrepancies in Cloud SQL and BigQuery. Analyzing and debugging Python scripts and SQL queries for production defects is also a core part of the role. You will manage production incidents, perform root-cause analysis, and contribute to documentation and process improvements.

We are seeking candidates with a minimum of 4 years of experience in production data platforms, DataOps, or ETL/ELT environments. A strong background in Google Cloud Platform (GCP) is essential, along with hands-on experience in troubleshooting Google Kubernetes Engine (GKE) and Apache Airflow. Proficiency in Cloud Run, Cloud SQL, BigQuery, Python (for debugging data pipelines), and SQL (for data validation) is required. Experience with log analysis, monitoring metrics, and understanding ETL/ELT patterns is also necessary. Willingness to work in a production-support capacity, including potential on-call duties, is expected.