Data Engineer II

Join our Data Engineering team to build modern cloud-based data platforms that support analytics, reporting, and business decision-making. We are looking for a Data Engineer to build and maintain scalable data solutions on AWS. The role involves developing data pipelines, implementing Lakehouse architecture using Apache Iceberg, and supporting analytics and reporting through reliable, high-quality data.

• Bachelor's degree in Computer Science, Engineering, IT, or a related field.
• Proven experience in Data Engineering and working with cloud-based data platforms.
• Strong technical proficiency in Python, SQL, AWS services, and Spark.
• Demonstrated experience with dbt, Apache Airflow, and Redshift.
• Solid understanding of data modeling and Lakehouse architectural concepts.
• Excellent communication and teamwork skills in a collaborative environment.

• Build and maintain data pipelines using AWS, DBT, Python, and Spark.
• Develop and optimize data transformation workflows using dbt and Redshift.
• Implement and manage Lakehouse solutions using Apache Iceberg.
• Orchestrate and monitor complex data workflows using Apache Airflow.
• Collaborate with business and technical stakeholders to deliver high-quality data solutions.
• Ensure data quality, reliability, and operational excellence through CI/CD practices.