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Data Engineer

2 months ago

Kitchener, Ontario, Canada ApplyBoard Full time

At ApplyBoard, we're on a mission to educate the world. As a key member of our team, you'll play a crucial role in shaping the future of international education. We're seeking a highly skilled Data Engineer to join our team on a part-time basis.

About the Role:

The Data Engineering team is responsible for supporting our product development and the entire organization. As a Data Engineer, you'll be working on building and maintaining ETL pipelines, automating analytics, and integrating systems. You'll also be responsible for building and maintaining the infrastructure used to host these pipelines and integrations.

Key Responsibilities:

  • Design and implement data pipelines using Python (pandas/pyspark)
  • Build and maintain ETL pipelines on AWS (EC2/Glue ETLs/Airflow)
  • Develop and maintain infrastructure components to support our pipelines and integrations using CDK
  • Set up and maintain integrations between different systems to enable data flow between these systems
  • Contribute to shaping the direction of our data platform, including architecting our data warehouse, machine learning deployment infrastructure, and ETL/ELT workflows
  • Gather and understand data requirements by working with stakeholders across multiple teams
  • Collaborate with Engineering, IT, and Security to build processes and standards for our data science platform and how it integrates with data sources across the company
  • Develop ingestion, transformation, and cleansing pipelines to prepare a variety of structured and unstructured data sources for data analytics
  • Maintain our data platform, including managing and improving our Redshift cluster and monitoring our data pipelines
  • Develop infrastructure using CDK to deploy data products to internal and external users
  • Provide operational support to the data science team
  • Be a go-to person for data-related questions company-wide

Requirements:

  • Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical discipline
  • 4+ years of experience in the data engineering field
  • Experience in setting up and maintaining a high volume of ETL pipelines
  • Experience in setting up ETL orchestration
  • Familiarity with infrastructure as code (CDK or Terraform) is a plus
  • Advanced knowledge of SQL and knowledge of NoSQL (MongoDB)
  • Ability to communicate effectively with people who are both highly technical and non-technical alike
  • Strong analytical skills and an understanding of data science
  • Driven, passionate, and creative, and thrives in a fast-paced environment
  • Knowledge of data modeling and system design using UML
  • Experience with AWS computing (e.g. EC2, Lambda) and data storage technologies (e.g. Redshift)

Tech Stack:

  • PostgreSQL
  • Python
  • Pandas
  • Nice to have Pyspark
  • Nice to have CDK or Terraform
  • AWS