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Sr/Architect Data Engineer - AWS

Hybrid (Toronto), Ontario
Job Description

The Senior Data Engineer has the following responsibilities and duties:
  • Be a member of the technical staff building solutions for the business.
  • Design, implementation, testing, debugging, performance tuning, documentation, validation, and support of analytical solutions
  • Translate business requirements into analytical solutions.
  • Analyze, model and wrangle data and files to prep for utilization.
  • Build data pipelines to move data into S3 and Redshift

The Senior Data Engineer should have the following skills, education and experience:


  • Excellent SQL and Python skills
  • Experience with distributed computing languages (Spark, PySpark, Scala, SparklyR, etc)
  • ETL/ELT hands-on experience with familiarity of Data Warehouse concepts
  • Expertise in designing efficient Data Models
  • Experience with Data Warehousing (Redshift, Snowflake, etc.)
  • Knowledge of AWS services like EC2, EMR, Lambda, Glue, Athena, Kinesis Data Streams, Kinesis Firehose, etc.
  • Knowledge of API-based integration and security (Restful and SOAP)
  • Knowledge of IAM roles, Policies, etc.
  • Experience in Data Visualization tools such as Tableau, Power BI etc.
  • Ability to learn fast and translate data into actionable results.
  • Excellent written and communication skills.

  • Experience developing and supporting scalable data pipelines
  • Experience with Snowflake
  • Experience building cloud formation templates for workloads
  • Familiar with EKS and ECS AWS services
  • Solid Linux programming skills
  • Experience building Data Platforms, Data lakes and Business Intelligence solutions.
Bachelors in computer science, engineering, information technology or other related disciplines.


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