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Senior Data Engineer (Snowflake)

4 weeks, 1 day ago
Canada
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Contentful Dagster Databricks dbt Feature Engineering GCP Generative AI LLM Looker Machine Learning Power BI Python Segment Snowflake SQL Tableau Terraform
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Apply Digital

Apply Digital

Apply Digital experts work with global brands like Coca Cola, Kraft Heinz, and The Very Group to thoughtfully connect strategy to execution, deliver impact for your business, and value for your customers. We are partners for change agents leading digit...

Professional Services
251-1K
Founded 2016
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Description

  • Design, build, and maintain scalable data pipelines and architectures for analytical and operational workloads.
  • Develop and optimize ETL/ELT pipelines for data extraction, transformation, and loading from multiple sources.
  • Work with backend and platform engineers to integrate data pipelines into cloud-native applications.
  • Manage and optimize cloud data warehouses, primarily BigQuery, for performance, scalability, and cost efficiency.
  • Implement data governance, security, and privacy best practices in line with company policies and regulations.
  • Collaborate with analytics teams to define data models and support self-service reporting and BI capabilities.
  • Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability and reliability.
  • Stay current on emerging data engineering technologies and continuously improve data infrastructure.

Requirements

  • Certified SnowPro.
  • 5+ years of experience in data engineering building modern cloud-based data platforms.
  • Strong hands-on experience with Snowflake, including performance tuning, security, and data modeling.
  • Advanced SQL skills for analytics engineering and data transformation.
  • Proficiency in Python for data processing, automation, and orchestration.
  • Experience with dbt or similar analytics engineering frameworks.
  • Familiarity with orchestration tools such as Dagster or Apache Airflow.
  • Experience collaborating with distributed teams across North America and Latin America.
  • Experience enabling or supporting machine learning, feature engineering, or AI-driven use cases on data platforms.
  • Solid understanding of data privacy, governance, and compliance best practices.
  • Strong problem-solving skills and a pragmatic, delivery-oriented mindset.
  • Ability to debug and optimize complex data workflows.
  • Excellent English communication and collaboration skills.
  • Experience with Snowflake Cortex, Snowpark, or ML workflows integrated with Snowflake (nice to have).
  • Familiarity with GenAI or LLM-enabled analytics use cases (nice to have).
  • Experience with Databricks or hybrid Snowflake + Databricks architectures (nice to have).
  • Exposure to real-time or near-real-time data pipelines (nice to have).
  • Experience with BI tools such as Looker, Tableau, or Power BI (nice to have).
  • Infrastructure as Code experience, such as Terraform, in data environments (nice to have).
  • Familiarity with CDPs, marketing platforms, and digital experience ecosystems such as Segment, Contentful, or personalization tools (nice to have).

Benefits

  • Hybrid/remote-friendly work arrangement.
  • Preferred location in the Greater Toronto Area or Greater Vancouver Area with ET or PT-aligned working hours.
  • Generous training budgets and mentorship for professional growth.
  • Focus on Agentic AI and future-of-work skill development.
  • Flexible personal time off (PTO).
  • Customizable extended health and dental benefits.
  • Inclusive and safe work environment.
  • Opportunity to work on engagements with international brands and global impact.

Interested in this position?

Apply directly on the company website

Apply Now

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