Data Engineer II

• • Build and maintain data pipelines using AWS, DBT,Python, Spark. 
  • Develop data transformations using dbt and Redshift. 
  • Implement and manage Lakehouse solutions using Apache Iceberg. 
  • Orchestrate workflows using Airflow. 
  • Work closely with business and technical teams to deliver data solutions. 

What are the key skills we are looking for?

• Develop and maintain data pipelines using DBT, AWS Glue, Spark, and basic Python. 

• Build and optimize data transformation workflows using dbt. 

• Implement and manage Lakehouse solutions using Apache Iceberg and Redshift. 

• Orchestrate and monitor workflows using Apache Airflow. 

• Optimize SQL queries and data models for performance and scalability. 

• Follow CI/CD and GitHub best practices for deployment and code management. 

• Collaborate with business and technical teams to deliver data solutions. 

• Ensure data quality, reliability, and operational excellence. Apache Iceberg and Lakehouse concepts Strong analytical and problem-solving skills.GitHub and CI/CD practices 
  • AWS Glue, S3, and Redshift 
  • Python, Spark, and PySpark 
  • dbt and SQL 
  • Apache Airflow