your Senior software engineers, analyzesYou will contribute to building a large -scale global analysis platform, large quantities of data we collect in Netskrt and investigate how to use AI/ML to improve our production environments based on these data. Ensure smooth integration, expansion capacity, and optimal performance. You will closely collaborate with multi -functional teams, architecture and implement advanced solutions. This position is located in our office in the center of Vancouver, British Columbia. Netskrt provides a hybrid work environment.

Main responsibilities:

• Design, development and maintenance of data pipelines and ETL processes that accommodate, transform and store data from different sources, using technologies such as Spark, Hadoop, Clickhouse and Cassandra.
• Implementing and improving machine learning models and algorithms, to solve various work problems and provide visions and recommendations.
• Development and maintenance of application programming facades and web services that offer automated learning functions and results for users and internal and external applications.
• Doing and exploring data analysis, to understand the quality of data, distribution and patterns.
• Work closely with data scientists, software engineers and product managers to understand work requirements, determine data solutions and machine learning, and provide high -quality results.
• Explining and repairing errors and solving problems related to the performance and reliability of data pipelines, machine learning models and applications.
• Keep keeping up with the trends of industry and emerging technologies, providing recommendations for continuous improvement in data engineering and automatic learning practices.

Required qualifications:

• Bachelor’s degree in computer science, data science, statistics, or relevant field.
• Strong efficiency in Bethon’s development with a deep understanding of snake -based applications.
• Extensive experience with big data technologies such as Spark, Hadoop, Clickhouse and Cassandra.
• A strong understanding of data engineering, data quality, data governance and best data security practices.
• Strong problem solving skills and the ability to explore complex issues in the production environment.
• Strong attention to detail and commitment to providing high -quality software solutions.
• Strong communication and cooperation skills, with the ability to transfer ideas and concepts effectively to both technicians and non -technician interests.

Required qualifications:

• Experience with cache and CDN (content connection network), Limelight/Edgio, Akamai, Fastly, Netflix, Google)
• Experience with platforms and cloud services, such as AWS, Azure or Google Cloud.
• Database techniques (posgresql, mysql, rabitmQ)
• Network exchange and guidance techniques
• Experience with gradient storage solutions
• Knowledge of large data technologies, such as Hadoop, Spark, Yarn or Elasticsearch.
• Knowing the principles of cybersecurity and best practices.

salary: $ 120,000 to 150,000 CAD depending on experience.