Data Engineer

1 month ago

Kitchener, Ontario, Canada ApplyBoard Full time
About the Role

ApplyBoard is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a critical role in supporting our product development and the entire organization. You will be responsible for building and maintaining ETL pipelines, infrastructure components, and data access components to support our analytics and predictive/ML models.

Key Responsibilities
  • Design and implement ETL pipelines using Python (pandas/pyspark) and AWS (EC2/Glue ETLs/Airflow)
  • Build and maintain infrastructure components using CDK to support our pipelines and integrations
  • Setup and maintain integrations between different systems to enable data flow between these systems (Appflow)
  • Contribute to shaping the direction of our data platform, including architecting our data warehouse, machine learning deployment infrastructure, and ETL/ELT workflows
  • Collaborate with stakeholders across multiple teams to gather and understand data requirements
  • Work closely 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

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