Data Engineer

Collaborate with hiring managers Design, develop, and maintain scalable data pipelines to
process and transform large datasets.
Work with cross-functional teams to understand data needs and deliver solutions that support business goals.
Implement automated ETL processes using Python and SQL to ensure efficient data extraction, transformation, and loading.
Build and deploy cloud-based data solutions using AWS services (e.g., S3, Lambda, Redshift, etc.).
Ensure high data quality by implementing robust data quality checks and validation processes.
Collaborate with the DevOps team to integrate CI/CD pipelines and automate deployment processes using Git, Docker, and Kubernetes.
Manage and monitor data workflows using orchestration tools such as Apache Airflow.
Troubleshoot and optimize performance issues across the data pipelines.
Continuously research and integrate new technologies and best practices in Data Engineering.