Azure Data Engginer

• Strong hands-on experience with Databricks and Apache Airflow for data orchestration.
• Expertise in PySpark, SQL, and Python for large-scale data processing.
• Proven experience in building and maintaining scalable data pipelines in a cloud environment.
• Experience leading and mentoring a technical team.
• Strong problem-solving, communication, and collaboration skills.

Good-to-Have Skills

• Familiarity with AI agentic solutions and LLM-based tools.
• Experience prototyping and implementing AI-driven business solutions.
• Knowledge of emerging trends in data engineering and AI.
• Ability to work on exploratory projects that combine data engineering with AI innovation.