Vakansiyanın detalları
- Əmək haqqı: Razılaşma yolu ilə
- Kateqoriya: Data science
Vakansiyanın təsviri
- Design and build highly reliable and scalable data pipelines using PySpark and big data technologies
- Collaborate with the data science team to develop new features that enhance model accuracy and performance
- Create standardized data models to improve consistency across various deployments
- Troubleshoot and resolve issues in existing ETL pipelines and optimize workflows
- Conduct POCs to evaluate new technologies and integrate additional data sources
- Follow and promote best practices for software development, ensuring high-quality solutions that meet requirements and deadlines
- Document development updates and maintain clear technical documentation
Xüsusi tələblər
- Bachelor's or master's degree in Computer Science or a related field
- Familiarity with the data science and machine learning development process
- Understanding of Machine Learning pipelines or frameworks
- 4+ years of professional experience, including 2+ years of data engineering with Apache Spark and SQL
- Proficiency in Python for data processing and automation
- Knowledge of PySpark, distributed computing, analytical databases and other big data technologies
- Expertise in designing and managing ETL pipelines and distributed data processing frameworks
- Strong knowledge of database systems, data modeling, and analytical databases
- Hands-on experience with workflow orchestration tools such as Apache Airflow
- Familiarity with cloud platforms like AWS, GCP, or Azure
- Solid understanding of software development lifecycles, including coding standards, version control, and testing
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