We are seeking a skilled Data Engineer with hands-on experience in Apache Airflow to join our team.
* Our ideal candidate will design, build, and maintain scalable data pipelines and workflows that support our analytics and data-driven initiatives.
* Collaborating with cross-functional teams, including data analysts, scientists, and engineers, is crucial to ensuring reliable data delivery.
* The selected candidate will optimize Extract, Transform, Load (ETL) processes for performance, reliability, and scalability.
* Maintaining and improving data architecture is essential to ensuring data integrity and security.
* Troubleshooting and resolving pipeline failures and performance bottlenecks is a critical aspect of this role.
Data Engineering Responsibilities
* Designing and implementing efficient data pipelines using Apache Airflow.
* Collaborating with stakeholders to ensure data quality and integrity.
* Optimizing ETL processes for improved performance and scalability.
* Maintaining and refining data architecture to meet evolving business needs.
* Troubleshooting and resolving technical issues related to data pipelines and workflows.
This is an excellent opportunity for a motivated and experienced Data Engineer to contribute to the growth and success of our organization.