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Data Engineer - DBT Cloud

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Onsite

Data Engineer - DBT Cloud

Enterprise Solutions Inc.

Data Engineer - DBT Cloud

Skills

SQL QueriesPythonData SciencePostgreSQLSnowflakeMachine LearningAIAWSdbtSAP ERPApache AirflowSAP Business ObjectsTerraform

2 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Markham, ON, Canada

Work mode:

Onsite

Published on:

22 October 2026

What they need


Title - Data Engineer

Type - Contract

Location - Markham , ON

Primary Skills

Extensive Experience 7 years of professional experience delivering over 10 high impact data projects from inception through warranty 5 years of Snowflake dbtCoreCloud and AWS Cloud Technologies 5 years of experience with coding in multiple programming languages such as PythonJava 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 Skills Mandatory Skills : Snowflake AI/ML, Snowflake-Data Science

Responsibilities

  • Deliver over 10 highimpact data projects from inception through warranty.
  • Work with Snowflake dbtCoreCloud and AWS Cloud Technologies.
  • Code in multiple programming languages such as PythonJava.
  • Design and manage relational databases Snowflake PostgreSQL Amazon Aurora.
  • Use tools such as Snowsight Streamlit.
  • Focus on performance reusability and maintainability in SQL Python Shell and Terraform.
  • Provide strong technical and business presentation skills.
  • Identify and address gaps in data designs and processes with both internal and external stakeholders.
  • Use pipeline orchestration tools like Zena and AWS Managed Airflow.
  • Thrive in fastpaced ambiguous and highpressure environments.
  • Communicate insights effectively using Qlik SAP BusinessObjects.

Qualifications

  • 7 years of professional experience delivering over 10 highimpact data projects from inception through warranty.
  • 5 years of Snowflake dbtCoreCloud and AWS Cloud Technologies.
  • 5 years of experience with coding in multiple programming languages such as PythonJava.

Required Skills

  • 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.
  • Strong technical and business presentation skills able to identify and address gaps in data designs and processes with both internal and external stakeholders.
  • Handson experience with orchestration tools like Zena and AWS Managed Airflow.
  • Proven ability to thrive in fastpaced ambiguous and highpressure environments.
  • Mandatory Skills : Snowflake AI/ML, Snowflake-Data Science

Preferred Skills

  • Qlik SAP BusinessObjects to communicate insights effectively.

We are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.

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