Data Application Production Support Engineer

We're working with a global telecom technology leader to hire a Data Application Production Support Engineer. This role ensures mission-critical data applications and pipelines run smoothly in a distributed environment.

Key Responsibilities
Application Monitoring - Proactively monitor data pipelines, jobs, and
applications.
Incident Management - Diagnose and resolve production issues quickly.
Data Pipeline Support - Maintain and troubleshoot ETL workflows in
Databricks.
SQL Query Optimization - Write, debug, and optimize queries for
performance.
Python Automation - Develop scripts to automate repetitive tasks.
Unix/Linux Administration - Manage and troubleshoot jobs in Unix/Linux
environments.
Azure Cloud Operations - Support applications deployed on Azure
infrastructure.
Distributed Systems - Ensure scalability, fault tolerance, and reliability.
Collaboration - Partner with developers, data engineers, and stakeholders.

Required Skills
Python - strong scripting & automation
Databricks - Spark jobs, notebooks, workflows
SQL - advanced query writing & optimization
Unix/Linux - shell scripting, job scheduling, monitoring
Azure - Data Factory, storage, monitoring tools
Distributed Systems - scalability & performance tuning

Preferred Qualifications
Experience supporting large-scale production data apps
Familiarity with incident management tools (ServiceNow, Jira)
Exposure to CI/CD pipelines & DevOps practices
Strong analytical and problem-solving mindset