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

Originally posted on Himalayas