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TAS Tower Lead

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Onsite

TAS Tower Lead

Tata Consultancy Services

TAS Tower Lead

Skills

SQL QueriesPythonRAlteryxData AnalysisAWSKubernetesApache AirflowCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Irvine, CA, USA

Work mode:

Onsite

Published on:

3 September 2026

What they need


TAS Tower Lead

Must Have Technical/Functional Skills

Python, R, Alteryx, SQL/PLSQL, AWS S3, SNS, ECR, Airflow, Kubernetes, Harness, production support, RCA, preventive fixes, BAU and enhancements

Roles & Responsibilities

We are seeking an experienced L3 Production Support Engineer to provide advanced technical and operational support for business-critical data and analytics applications. The candidate should have strong hands-on experience with Python, R, Alteryx, SQL/PLSQL, AWS, Airflow, Kubernetes, and Harness, along with proven expertise in production incident resolution, root cause analysis, preventive fixes, BAU support, and application enhancements.

  • Provide L3 production support for critical data, analytics, and application platforms, ensuring system availability, stability, and performance.
  • Investigate and resolve complex production incidents involving applications, data pipelines, database procedures,

infrastructure components, and system integrations.

  • Develop, troubleshoot, and optimize applications, automation scripts, and analytical workflows using Python and R.
  • Design, maintain, monitor, and support data preparation and analytics workflows developed using Alteryx.
  • Write and optimize complex SQL and PL/SQL queries, stored procedures, functions, packages, and scripts for production troubleshooting and data validation.
  • Support application data storage, file processing, archival, and recovery activities using AWS S3.
  • Monitor and troubleshoot application notifications and event-driven integrations implemented using AWS SNS.
  • Manage, maintain, and troubleshoot container images and repositories hosted in AWS Elastic Container Registry (ECR).
  • Monitor, support, and troubleshoot batch and data-processing workflows orchestrated through Apache Airflow, including DAG failures, scheduling issues, dependencies, and performance bottlenecks.
  • Support containerized applications deployed on Kubernetes, including troubleshooting pods, deployments, services, configurations, resource utilization, and application logs.
  • Use Harness to support CI/CD pipelines, application deployments, release validation, rollback activities, and production deployment monitoring.
  • Perform detailed Root Cause Analysis (RCA) for critical and recurring incidents, document findings, and coordinate

corrective actions with engineering and infrastructure teams.

  • Identify recurring production issues and implement preventive and permanent fixes to improve platform reliability and reduce incident volume.
  • Handle Business-as-Usual (BAU) activities, including daily health checks, batch monitoring, job reruns, data validation, service requests, access-related requests, and operational reporting.Analyze data issues and perform reconciliation, profiling, validation, and correction activities to ensure data accuracy, completeness, and consistency.
  • Coordinate with application development, database, cloud, infrastructure, DevOps, and business teams during high-priority production incidents.
  • Participate in incident, problem, change, and release management processes and ensure compliance with defined operational procedures and SLAs.
  • Perform impact analysis, technical design, coding, testing, deployment, and post-production validation for minor and medium-sized application enhancements.
  • Support planned releases, infrastructure changes, platform upgrades, patching, and production maintenance activities.
  • Develop automation solutions using Python, SQL/PLSQL, and platform utilities to reduce manual operational effort and improve support efficiency.
  • Create and maintain technical documentation, operational runbooks, troubleshooting guides, support procedures, and knowledge-base articles.
  • Monitor application logs, system alerts, scheduled workflows, cloud components, and Kubernetes workloads to proactively identify potential failures.
  • Participate in on-call support rotations and provide technical assistance during critical incidents, production releases, and planned maintenance activities.
  • Track incidents through closure, provide timely status updates, and communicate business impact, recovery actions, root causes, and preventive measures to stakeholders.
  • Drive continuous service improvement by identifying automation opportunities, performance enhancements, monitoring improvements, and process optimization initiatives.

Salary Range- $110,000-$140,000 a year

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