Senior Data Platform Reliability Engineer (L3)

Tata Consultancy Services; Monterrey; Híbrido; MXN 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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Descripción de la vacante

Tata Consultancy Services is seeking an experienced L3 Support Engineer to ensure reliability, performance, and stability of our enterprise data platform. You will troubleshoot complex data workflows and drive operational excellence across Databricks, Airflow, and DBT environments.

The role involves monitoring jobs, investigating incidents, and performing RCA to implement preventive solutions. Collaboration with engineering teams and on-call rotations are part of the responsibilities.

Formación

• Bachelor's degree in CS/IT or related field.
• Certifications in Databricks, Azure, AWS, or Data Engineering are a plus.
• Experience in Agile and DevOps environments.
• Familiarity with ServiceNow, Jira and Confluence.

Responsabilidades

• Provide L3 production support for enterprise data and analytics platforms.
• Monitor and troubleshoot Databricks jobs, Airflow workflows, DAG failures, and DBT transformations.
• Investigate and resolve incidents, ensuring SLA adherence and system reliability.
• Perform root cause analysis and implement preventive solutions.
• Optimize data pipeline performance, Spark workloads, and platform operations.
• Support CI/CD deployments and release activities.
• Develop monitoring, alerting, and automation solutions to improve operational efficiency.
• Collaborate with engineering and business teams to maintain a highly available data platform.
• Participate in on-call support rotations and major incident management.

Conocimientos

Airflow

DBT

Python

SQL

PySpark

Spark SQL

ETL/ELT

Azure

AWS

GCP

CI/CD

Monitoring

Troubleshooting

Databricks

Educación

Bachelor's degree in Computer Science, Information Technology, or related field

Herramientas

Jira

Confluence

ServiceNow

Databricks

Descripción del empleo

Tata Consultancy Services is seeking an experienced L3 Support Engineer to ensure reliability, performance, and stability of our enterprise data platform. You will troubleshoot complex data workflows and drive operational excellence across Databricks, Airflow, and DBT environments.

The role involves monitoring jobs, investigating incidents, and performing RCA to implement preventive solutions. Collaboration with engineering teams and on-call rotations are part of the responsibilities.