Data Application Production Support Engineer
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Role details
Tech stack
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Job description
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.
Requirements
Do you have experience in UNIX?, 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
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