Tas Tower Lead

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.