Data Application Production Support Engineer, Alpharetta

Data Application Production Support Engineer

Hybrid 3 days in office 2 days remote in Plano, TX or Alpharetta, GA 2 video interviews We're seeking candidates with strong expertise in Python, SQL, Databricks, Unix, Azure, and distributed systems, ensuring high availability and reliability of data services. Key Responsibilities: Application Monitoring: Proactively monitor data pipelines, jobs, and applications to ensure smooth operations.Incident Management: Diagnose and resolve production issues, minimizing downtime and impact. Data Pipeline Support: Maintain and troubleshoot ETL workflows in Databricks and other platforms. SQL Query Optimization: Write, debug, and optimize SQL queries for performance and accuracy. Automation: Develop scripts in Python to automate repetitive tasks and improve efficiency.Unix Administration: Manage and troubleshoot jobs running on Unix/Linux environments. Cloud Operations: Support and maintain applications deployed on Azure cloud infrastructure. Distributed Systems: Ensure reliability and scalability of applications running in distributed environments. Collaboration: Work closely with developers, data engineers, and business stakeholders to resolve issues and implement improvements.Required Skills: Python: Strong scripting and automation skills. Databricks: Hands-on experience with Spark jobs, notebooks, and workflows. SQL: Advanced query writing, debugging, and optimization. Unix/Linux: Proficiency in shell scripting, job scheduling, and system monitoring. Azure: Familiarity with Azure Data Factory, storage, and cloud monitoring tools.Distributed Systems: Understanding of scalability, fault tolerance, and performance tuning. Strong problem-solving and analytical skills. Preferred Qualifications: Experience in production support for large-scale data applications. Knowledge of incident management tools (ServiceNow, Jira). Familiarity with CI/CD pipelines and DevOps practices.