Data Application Support Engineer

Sales Force Inc

JOB DESCRIPTION:

We are seeking a highly skilled professional to join our Data Application Production Support team. The role involves monitoring, troubleshooting, and maintaining critical data applications and pipelines in a distributed environment. The ideal candidate will have 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.

>> 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.
Strong problem-solving and analytical skills.

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Vacancy posted 4 days ago

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