Data Architecture Specialist

1 week ago

Toronto, Ontario, Canada World Education Services Full time

Job Summary:


We are seeking a highly skilled Cloud Data Engineering Lead to join our team at World Education Services. This role will be responsible for designing, developing, and maintaining our data architecture, with a focus on Snowflake and ETL processes.



Key Responsibilities:

  • Design and implement scalable high-performance data pipelines, architecture, and infrastructure to integrate diverse data sources
  • Build and implement ETL processes using various methods to facilitate efficient data movement between systems
  • Develop a culture that incorporates best practices to ensure robust data pipelines with error handling and alerting
  • Design data models that transform complex organizational data into easy-to-use data structures, ensuring seamless flow for operational, analytics, and reporting needs
  • Use DBT or Snowflake native capabilities to transform data and ensure its accuracy and currency
  • Optimize data structures and queries to ensure efficient data storage and retrieval
  • Implement and enforce data quality standards to ensure the accuracy and reliability of educational data used in academic assessments globally
  • Collaborate with cross-functional teams, including analysts and business stakeholders, to understand unique data requirements for data processing or analytics needs
  • Implement and maintain data security measures to protect sensitive information, ensuring compliance with international data privacy regulations
  • Develop and maintain practices for effective data warehousing, transformations, data sharing, and structured management
  • Create and maintain comprehensive documentation for data engineering processes, systems, and workflows
  • Provide technical leadership and mentorship to junior members of the data engineering team, fostering a collaborative environment dedicated to excellence in handling educational data
  • Utilize Tableau to deliver data insights using impactful visualizations in a meaningful and actionable manner


Requirements:

  • Education: Computer Science, Information Technology, or related field, with a strong emphasis on Data-related technologies
  • 8+ years' experience in a data engineering role, with a focus on designing and implementing scalable data solutions
  • Highly proficient in programming languages such as Python, Java, or Scala
  • Expertise in working with both SQL and NoSQL databases, with hands-on experience in database design and optimization; proficiency in Snowflake is required
  • Expertise in Snowflake for effective data warehousing, transformations, data sharing, and structured management in a cloud-based environment
  • Well-versed in Machine Learning concepts and committed to growth in this area
  • Proficient with cloud platforms like Azure, AWS, or Google Cloud Platform
  • Experienced using Azure for Data Engineering tasks, i.e., function apps and other Azure functionality that can be used to build data pipelines (a plus)
  • Knowledge of version control systems like Git or Azure DevOps for managing the codebase
  • Strong analytical and problem-solving skills to address complex data engineering challenges specific to educational data
  • Excellent communication skills to effectively collaborate with cross-functional teams and non-technical stakeholders
  • Ability to adapt to evolving technologies and industry best practices in the field of data engineering
  • Experience using TIBCO EBX or Boomi or other low-code ETL tools (a plus)


About World Education Services:

World Education Services values diversity in all its forms and recruits qualified individuals at all occupational levels that reflect the diversity of our clients and community. We strive to foster a workplace in which all individuals maximize their potential, regardless of their differences. We are committed to providing accommodations for persons with disabilities.

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