Senior Data Engineer
Join a leading computer hardware manufacturer to design and maintain scalable data pipelines and infrastructure for manufacturing data. Collaborate with cross-functional teams to ensure data integrity and optimize workflows, supporting machine learning and analytics initiatives.
Responsibilities
- Collaborate with multi-functional teams to design and implement robust data pipelines and infrastructure.
- Develop and support data models, schemas, and database structures for high-performance analytics.
- Optimize data workflows for real-time and batch processing.
- Implement data quality checks and monitoring mechanisms to ensure data integrity.
- Control, monitor, and optimize worldwide production servers.
- Build and maintain scalable data pipelines for efficient data storage, retrieval, and transformation.
- Stay current with data engineering technologies and introduce new tools and methodologies.
- Mentor junior data engineers and foster a culture of knowledge-sharing.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- 5+ years of relevant experience as a hands-on data engineer.
- Experience with cloud-based data platforms such as AWS, Azure, or GCP.
- Strong programming skills in Python or Scala.
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Solid knowledge of Linux environments.
Nice to have
- Experience with data engineering frameworks such as Kafka, Cloudera, Spark, Airflow, or Hadoop.
- Ability to balance multiple priorities in a multifaceted environment.
Benefits
- Highly competitive salaries and a comprehensive benefits package.