Senior Data Engineering Specialist
7 days ago
We are seeking a seasoned Data Engineering Specialist to join our team at Gethyr. In this role, you will be responsible for designing, implementing, and maintaining scalable data pipelines using PySpark to process and transform large datasets efficiently.
Key Responsibilities:
- Design and implement data pipelines using PySpark to process and transform large datasets.
- Develop and schedule complex data workflows and ETL processes using Apache Airflow.
- Manage and optimize data storage solutions, ensuring data integrity, reliability, and availability.
- Conduct code reviews to ensure code quality and adherence to best practices.
- Work closely with the data team, analysts, and other stakeholders to understand data requirements and deliver robust data solutions.
- Continuously optimize data processing jobs to improve performance and reduce costs.
- Diagnose and resolve data pipeline issues, ensuring minimal disruption to data flow.
- Maintain thorough documentation of data workflows, processes, and infrastructure.
Requirements:
- 8+ years of experience in data engineering or a related field.
- Proficiency in Python, with a focus on data engineering tasks.
- Strong experience with PySpark for large-scale data processing.
- Hands-on experience with Apache Airflow for managing ETL processes.
- Proficiency in using Kubernetes for deploying and managing containerized applications.
- Experience with data lakes, data warehouses, and other storage solutions (e.g., HDFS, S3, etc.).
- Experience with cloud-based platforms like AWS, Azure, or Google Cloud is a plus.
- Knowledge of SQL and NoSQL databases for data management.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills and ability to work effectively in a team environment.
Original Language: English.
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