MISSION

• Architect and implement enterprise-grade data solutions using Databricks, Apache Spark, and cloud services.
• Lead data engineering initiatives, setting best practices and guiding technical decisions.
• Design, optimize, and scale data pipelines for performance, reliability, and cost efficiency.
• Define data governance policies and implement security best practices.
• Evaluate emerging technologies and recommend improvements to existing data infrastructure.
• Mentor junior and mid-level engineers, fostering a culture of continuous learning.
• Collaborate with cross-functional teams to align data strategy with business objectives.

Please refer the Job description for details