**Description**



+ Lead the design, development, and implementation of scalable data pipelines and ELT processes using Databricks, DLT, dbt, Airflow, and other tools.

+ Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions.

+ Optimize and maintain existing data pipelines to ensure data quality, reliability, and performance.

+ Develop and enforce data engineering best practices, including coding standards, testing, and documentation.

+ Mentor junior data engineers, providing technical leadership and fostering a culture of continuous learning and improvement.

+ Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to business operations.

+ Stay up to date with the latest industry trends and technologies, and proactively recommend improvements to our data engineering practices.



**Qualifications**



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