Data Engineer (Senior - Leader)

For one of our clients, we are seeking an experienced Data Engineer to join our dynamic team. The ideal candidate will have a solid background in data engineering, with expertise in Python, ETL tools, Airflow, and Hadoop. You will be responsible for building, maintaining, and optimizing data pipelines that handle high-volume transactions exceeding 50 million per day.
If you're excited about solving challenging problems, delivering polished user experiences, and contributing to a fast-paced and innovative environment, we'd love to meet you.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines and data models for large transaction systems.
Utilize Python and ETL tools to extract, transform, and load data efficiently from various sources.
Implement and manage workflows using Apache Airflow to automate data processing tasks.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality and availability.
Optimize data processing performance and reliability in a Hadoop environment.
Monitor and troubleshoot data pipeline issues to ensure operational efficiency and reliability.
Document processes, data flow, and architecture for future reference and compliance.
Stay current with industry trends and emerging technologies in data engineering.