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Data Application Production Support Engineer

Anveta

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.
Vacancy posted 3 days ago
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