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.
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 recent features into production.
Robust proficiency in SQL and a scripting language (Python preferred).
Experience with cloud data platforms (Azure, Databricks).
Knowledge of data pipeline orchestration and scheduling tools.
Familiarity with monitoring, logging, and ing tools.
Understanding of CI/CD and DevOps principles.
Excellent troubleshooting and problem-solving skills

📌 Data Operations Engineer Vdt Chennai
🏢 Bahwan Cybertek
📍 Chennai