Data Engineer

3 weeks ago

Kitchener, Ontario, Canada ApplyBoard Full time

At ApplyBoard, we're on a mission to educate the world. As a key member of our data engineering team, you'll play a vital role in supporting our product development and the entire organization. Your expertise will be instrumental in building and maintaining the infrastructure used to host our pipelines and integrations, as well as providing tooling and analytics for our predictive/ML models.

The Role:

As a data engineer, you'll be responsible for building and maintaining ETL pipelines to automate analytics, as well as building integrations between systems. You'll work closely with our engineering, IT, and security teams to build processes and standards for our data science platform and how it integrates with data sources across the company.

Key Responsibilities:

  • Build and maintain analytics with Python (pandas/pyspark)
  • Build and maintain ETL pipelines on AWS (EC2/Glue ETLs/Airflow)
  • Build and maintain infrastructure components to support our pipelines and integrations (CDK)
  • Setup and maintain integrations between different systems to enable data flow between these systems (Appflow)
  • Actively 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
  • Developing ingestion, transformation, and cleansing pipelines to prepare a variety of structured and unstructured data sources for data analytics
  • Maintaining our data platform, including managing and improving our redshift cluster and monitoring our data pipelines
  • Developing infrastructure using CDK to deploy data products to internal and external users
  • Providing operational support to the data science team
  • Being a go-to person about data-related questions company-wide

Requirements:

  • Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical discipline
  • 4+ years 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

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