استخدام Data Engineer
شرح موقعیت شغلی
Are you a seasoned Data Engineer with a passion for transforming raw data into actionable insights? Do you thrive on creating robust data pipelines and leveraging cutting-edge technologies to support AI algorithms? If so, we have an exciting opportunity for you to join our AI team as a Data Engineer.
Role and Responsibilities:
As an Open Data Engineer on our AI team, you will be a crucial player in designing, developing, and maintaining data pipelines that convert raw data streams into high-quality datasets suitable for AI-driven applications. Your responsibilities will include:
As an Open Data Engineer on our AI team, you will be a crucial player in designing, developing, and maintaining data pipelines that convert raw data streams into high-quality datasets suitable for AI-driven applications. Your responsibilities will include:
- Designing and implementing end-to-end data pipelines to extract, transform, and load (ETL) data from various sources, including but not limited to video interactions, user behaviors, and content metadata.
- Leveraging distributed solutions like Apache Spark to handle large-scale data processing and transformation efficiently and effectively.
- Collaborating closely with cross-functional teams, including Data Scientists and Software Engineers, to understand data requirements and ensure smooth integration of data pipelines into AI algorithms.
- Deploying and maintaining scalable Spark solutions tailored to our specific VOD platform needs.
- Contributing to the optimization of data pipelines for performance, reliability, and scalability.
- Integrating diverse technologies within our stack, such as Python, Go, ClickHouse, Redis, RabbitMQ, Grafana, Airflow, and MySQL, to create comprehensive data solutions.
- Playing a pivotal role in shaping data architecture and strategies for our recommendation systems.
- Staying updated with industry trends, best practices, and emerging technologies in data engineering and AI domains.
Qualifications and Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer, with a strong track record of building and deploying data pipelines for AI applications.
- Extensive hands-on experience with distributed data processing frameworks, particularly Apache Spark, for handling large-scale data transformations.
- Proficiency in programming languages like Python and Go for designing and implementing data solutions.
- Familiarity with ClickHouse, Redis, RabbitMQ, Grafana, Airflow, and MySQL, as well as their integration into data pipelines.
- Background in designing and optimizing ETL processes for performance and scalability.
- Knowledge of video recommendation systems and their underlying algorithms is a strong plus.
- Strong problem-solving skills and the ability to work in a collaborative team environment.
- Excellent communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
Why Join Us:
- Opportunity to work on cutting-edge AI-driven projects in the VOD industry.
- Collaborative and innovative work environment with cross-functional teams.
- Chance to make a significant impact on user experiences and engagement.
- Competitive compensation package and benefits.
- Professional growth and development opportunities in a rapidly evolving field.
If you're an experienced Data Engineer with a passion for transforming data into insights and want to play a pivotal role in shaping our AI-driven recommendation systems, we encourage you to apply.
Note: Please include your resume and a cover letter detailing your relevant experience and why you're a great fit for this role.
مهارتهای مورد نیاز
- Python
- SQL
- Big Data
- Data engineer
حداقل سابقه کار
- سه تا شش سال
جنسیت
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وضعیت نظام وظیفه
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