• Design and implement a scalable data infrastructure in a cloud environment (Azure or
  AWS).
• Architect and build ETL/ELT pipelines to streamline data ingestion and transformation.
• Collaborate with the data engineering team to create data lakehouse and warehouse
  solutions.
• Ensure data quality, governance, and security across the data platforms.
• Optimize workflows and implement automation using tools like Airflow, Databricks, and
  Snowflake.
• Support the integration of Kubernetes and Terraform for infrastructure management.

• Bachelor's degree in related field of study.
• Bilingual: English/Spanish.
• Proficiency with cloud platforms (Azure or AWS).
• Strong experience with Airflow, Python, and data transformation tools.
• Hands-on experience with Databricks or Airflow, Snowflake, and data
  lakehouse/warehouse architecture.
• Knowledge of Terraform, Kubernetes, and data pipeline best practices.

Preferred Qualifications:

• 5+ years of experience in data engineering or a related field.
• Proven track record of implementing scalable data solutions.
• Excellent problem-solving skills and attention to detail.

This is a great opportunity for someone looking to make a significant impact on our data
infrastructure and help drive the success of our data initiatives.