Data Operations Engineer - VDT

Role description
Qualification -

• Bachelor’s degree in Information Technology, Computer Science, or related field.
• 3+ years of experience in data engineering, software development, or systems administration.
• Hands-on experience with cloud data platforms (Azure Data Factory, Azure Synapse, Databricks).
• Experience with data pipeline orchestration and scheduling tools.
• Familiarity with CI/CD and DevOps principles.

Job description -

Incident Investigation & Resolution:
• Triage, investigate, and resolve escalated incidents related to data pipelines, platform performance, and data quality.
Root Cause Analysis & Permanent Fixes:
• Perform RCA for recurring issues and implement permanent solutions to prevent recurrence.
Automation & Operational Efficiency:
• Develop and maintain automation scripts to reduce manual operational tasks and improve reliability.
Monitoring & ing Optimization:
• Manage and optimize monitoring, logging, and ing configurations for data platforms.
Minor Enhancements & Bug Fixes:
• Handle minor platform enhancements and bug fixes that do not require significant architectural changes.
Collaboration & Feature Handoff:
• Collaborate with development pods to ensure smooth handoff of new features into production.