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Senior Software Engineer

2 months ago

Vancouver, British Columbia, Canada Netskrt Systems Inc. Full time
About the Role

Netskrt Systems Inc. is a leading-edge CDN company dedicated to pushing the boundaries of innovation. We are seeking a talented and motivated Senior Software Engineer to build a world-class, large-scale analytics platform for the large amounts of data we collect and investigate how we can use AI/ML to optimize our production environments based on that data.

Key Responsibilities
  1. Data Pipeline Development: Design, develop, and maintain data pipelines and ETL processes that ingest, transform, and store data from various sources, using technologies such as Spark, Hadoop, ClickHouse, and Cassandra.
  2. Machine Learning Implementation: Implement and optimize machine learning models and algorithms to solve various business problems and deliver insights and recommendations.
  3. API Development: Develop and maintain APIs and web services that expose machine learning functionality and results to internal and external users and applications.
  4. Data Analysis: Perform data analysis and exploration to understand data quality, distribution, and patterns.
  5. Collaboration: Work closely with data scientists, software engineers, and product managers to understand business requirements, define data and machine learning solutions, and deliver high-quality results.
  6. Troubleshooting: Troubleshoot and resolve issues related to the performance and reliability of data pipelines, machine learning models, and applications.
  7. Industry Trends: Stay abreast of industry trends and emerging technologies, providing recommendations for continuous improvement in data engineering and machine learning practices.
Required Qualifications
  1. Education: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
  2. Programming Skills: Strong proficiency in Python development with a deep understanding of Python-based applications.
  3. Big Data Experience: Extensive experience with big data technologies such as Spark, Hadoop, ClickHouse, and Cassandra.
  4. Data Engineering: Solid understanding of data engineering, data quality, data governance, and data security best practices.
  5. Problem-Solving: Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment.
  6. Attention to Detail: Strong attention to detail and a commitment to delivering high-quality software solutions.
  7. Communication: Strong communication and collaboration skills, with the ability to effectively convey ideas and data-related concepts to both technical and non-technical stakeholders.
Desired Qualifications
  1. Caching and CDN Experience: Experience with caching and CDN (content delivery network) technologies (CloudFront, Limelight/Edgio, Akamai, Fastly, Netflix, Google).
  2. Cloud Platforms: Experience with cloud platforms and services, such as AWS, Azure, or Google Cloud.
  3. Database Technologies: Database technologies (PostgreSQL, MYSQL, RabbitMQ).
  4. Network Technologies: Network switching and routing technologies.
  5. Tiered Storage: Experience with tiered storage solutions.
  6. Big Data Technologies: Familiarity with big data technologies, such as Hadoop, Spark, YARN, or Elasticsearch.
  7. Cybersecurity: Knowledge of cybersecurity principles and best practices.