Required Skills & Experience:

• Strong hands-on experience with DBT (data modeling, transformations).
• Proficiency in Snowflake (warehousing concepts, performance tuning).
• Experience with Power BI (reporting, dashboards, DAX).
• Data Engineering & Operations: Knowledge of ELT/ETL pipelines and orchestration tools (Airflow preferred).
• Familiarity with CI/CD for data projects and Git-based workflows.
• Other Skills: Strong SQL skills and understanding of data warehousing principles.
• Excellent problem-solving and analytical abilities.
• Good communication and leadership skills.
• Lead Operations for DWH Projects: Manage day-to-day operations for data warehouse systems and pipelines. Ensure high availability, performance, and reliability of data platforms.
• Technical Leadership: Provide guidance on DBT transformations, Snowflake architecture, and Power BI reporting. Review and optimize SQL queries, DBT models, and data flows.
• Monitoring & Incident Management: Implement monitoring tools and processes for proactive issue detection. Troubleshoot and resolve data pipeline failures and performance bottlenecks.
• Process Improvement: Drive automation for operational tasks and deployments. Establish best practices for version control, CI/CD, and data quality checks.
• Collaboration: Work closely with Data Engineers, BI Developers, and Business Analysts. Communicate effectively with stakeholders on project status and operational metrics.

Nice-to-Have:

• Experience with cloud platforms (Azure).
• Knowledge of data governance, security, and compliance.
• Exposure to Python for scripting and automation.