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

Requirements

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

Skills

Required:

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.

Preferred:

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.

Education
Bachelors in computer science, engineering, information technology or other related disciplines.