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.