Data Engineer - Full-Time - Vancouver, BC - Canada (Hybrid)

Overview

On Site
$DOE
Full Time
Contract - W2
Contract - Full-Time

Skills

Automation
Jira
Data Architecture
Devops
Confluence
Data Pipelines
Quality Management
Azure Data Factory
Microsoft Azure
Microsoft SharePoint
Problem solving
Stakeholder Management
communication skills
Snowflake
data integrity
Team Management
Data Processing
Apache Spark
access controls
Testing Skills
regulatory requirements
mentoring
Extract Transform Load (ETL)
Team Working
Safety Principles
Python (Programming Language)
Writing Documentation
Self Motivation
Information Engineering
Technical Supervision
Data Infrastructure
Database Performance
Offshore Work
Query Optimisation
Query Performance
Tax Efficiency

Job Details

Job Title: Data Engineer

Location Vancouver, BC - Canada (Hybrid)

Fulltime position ( office 2-3 days a week)

Key Responsibilities

  • Implementation of data integrations while following best practices, quality processes, and security standards.
  • Refining pipelines, improving query performance, and ensuring our data infrastructure is efficient and reliable.
  • Co-ordinate with offshore and ITH teams to drive the technical delivery.
  • Working closely with data analysts, product managers, and business stakeholders to deliver high-impact solutions.
  • Work with cross-functional teams and mentor junior engineers.
  • Adhering to security, privacy, and regulatory requirements while managing access control and data integrity.

Qualifications

  • 6+ years of experience in Data Engineering, ETL, or Data Architecture.
    Strong expertise in Snowsql, Snowflake, Python, and Spark.
  • Proven ability to build and optimize data pipelines using Azure Data Factory and DevOps.
  • Hands-on expertise in Azure (Storage, Key Vault, DevOps).
  • Experience integrating various data sources and automating processes using Streamlit, Python, Azure functions.
  • Familiarity with Jira, SharePoint, Confluence, and Miro for structured testing, collaboration, and documentation.
  • Deep understanding of database performance optimization, query tuning, and cost efficiency.
  • Experience mentoring junior engineers, setting technical direction, and driving best practices within a team.
  • Deep understanding of query optimization and cost-efficient data processing.
  • Ability to work with cross-functional teams and mentor junior engineers.
  • Experience in leading Teams with technical direction.
  • Hands-on experience with Azure cloud technologies.
  • Experience leading projects, setting delivery goals, and optimizing data infrastructure.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Proactive, self-driven, and able to work independently while collaborating in a fast-paced environment.
  • Strong communication skills and ability to collaborate across technical and business teams.
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