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Senior Data Engineer - Snowflake & DBT Cloud

  • Markham, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Contract
Closing date
Experience
5 years of experience with coding in multiple programming languages such as Python and Java
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Role Senior Data Engineer

Location Canada Client location Markham Office

Working model Hybrid 3 days Work From Office 2 days mandatory Tue Wed 1 day flexible any day from Mon Thu Fri

Primary Skills

Extensive Experience of professional experience delivering over 10 high-impact data projects from inception through warranty

5 years of Snowflake, dbt Core, Cloud, and AWS Cloud Technologies

5 years of experience with coding in multiple programming languages such as Python and Java

Deep knowledge of relational databases Snowflake PostgreSQL Amazon Aurora

Skilled in tools such as Snowsight Streamlit

Proficiency in SQL Python Shell and Terraform with a strong focus on performance reusability and maintainability

Presentation Communication Strong technical and business presentation skills able to identify and address gaps in data designs and processes with both internal and external stakeholders

Pipeline Orchestration Tools Handson experience with orchestration tools like Zena and AWS Managed Airflow

Resilience Adaptability Proven ability to thrive in fastpaced ambiguous and highpressure environments

Required

Certifications having 2 Or More Is An Asset

SnowPRO Core

SnowPRO Advanced Data Engineer DEAC01 DEAC02

SnowPro Advanced Architect ARAC01

Qlik SAP BusinessObjects to communicate insights effectively

AWS Cloud Practitioner

Mandatory Skills : Snowflake AI/ML, Snowflake-Data Science

“We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.”

More about this job

Responsibilities

Deliver high-impact data projects from inception through warranty while ensuring performance, reusability, and maintainability. Identify and address gaps in data designs and processes while collaborating with internal and external stakeholders.

Requirements

Requires 5 years of experience with Snowflake, dbt, AWS, and multiple programming languages like Python and Java. Candidates should possess strong technical presentation skills and experience with pipeline orchestration tools.

Skills

  • Snowflake
  • Dbt Core
  • AWS Cloud
  • Python
  • Java
  • PostgreSQL
  • Amazon Aurora
  • Snowsight
  • Streamlit
  • SQL
  • Shell
  • Terraform
  • Zena
  • AWS Managed Airflow
  • Data Engineering
  • AI/ML

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Finance & Accounting

Keywords

  • Snowflake
  • Dbt Core
  • AWS
  • Python
  • Java
  • PostgreSQL
  • Amazon Aurora
  • Snowsight
  • Streamlit
  • SQL
  • Shell
  • Terraform
  • Zena
  • AWS Managed Airflow
  • SnowPRO Core
  • SnowPRO Advanced Data Engineer
  • SnowPro Advanced Architect
  • Qlik
  • SAP BusinessObjects
  • Data Engineering
  • AI/ML
  • Data Science
  • Insurance
  • Cloud Technologies
  • Relational Databases
  • Pipeline Orchestration

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