data engineer

The Wolf Works LLC; Vancouver; Hybrid; CAD 150,000 - 155,000; Full time

Job summary

A technology solutions company in Vancouver is seeking a Data Engineer to design and optimize data systems. The ideal candidate will have over 8 years of experience in Data Engineering and be proficient in ETL processes. This is a full-time position with a hybrid work model, offering a competitive salary between $150,000 and $155,000 annually.

Qualifications

• 8+ years of experience in Data Engineering, ETL, and Data Architecture.
• Strong expertise in SnowSQL and Snowflake along with Python and Spark.
• Proven ability to build and optimize data pipelines using Azure tools.
• Experience integrating various data sources and automating processes.

Responsibilities

• Design and optimize data systems to support business needs.
• Build efficient ETL processes with Snowflake, Databricks, and Azure.
• Drive best practices in data engineering and mentor junior engineers.
• Collaborate with cross-functional teams to deliver impactful solutions.

Skills

Data Engineering

ETL

Data Architecture

SnowSQL

Python

Spark

Azure Data Factory

Azure DevOps

Database Performance Optimization

Mentoring

Tools

Snowflake

Azure

Streamlit

Jira

SharePoint

Confluence

Miro

Job description

Data Engineer

As a Data Engineer, you will play a key role in designing, building, and optimizing our data systems to support business needs and engineering standards.

• Building efficient and scalable ETL processes using Snowflake, Databricks, Python, SQL, and Azure services to support analytics and reporting.
• Development of data ingestion frameworks, ensuring seamless integration across multiple systems while maintaining high data quality.
• Enhancing performance and reliability by optimizing queries and troubleshooting issues to ensure data availability and integrity.
• Driving best practices in data engineering, including coding standards, version control, and automation.
• Coordinating with engineers across global teams, especially offshore and ITH (India Tech Hub).
• Sharing knowledge on performance tuning and optimization, and working closely with cross-functional teams.
• Managing access controls and maintaining compliance with industry standards.
• Implementation of data integrations following best practices, quality processes, and security standards.
• Refining pipelines, improving query performance, and ensuring data infrastructure is efficient and reliable.
• Coordinating with offshore and ITH teams to drive technical delivery.
• Working closely with data analysts, product managers, business stakeholders to deliver high-impact solutions.
• Collaborating with cross-functional teams and mentoring junior engineers.
• Adhering to security, privacy, and regulatory requirements while managing access control and data integrity.

Qualifications

• 8+ years of experience in Data Engineering, ETL, Data Architecture.
• Strong expertise in SnowSQL, Snowflake, Python, Spark.
• Proven ability to build and optimize data pipelines using Azure Data Factory, Azure 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, Miro for structured testing, collaboration, and documentation.
• Deep understanding of database performance optimization, query tuning, cost efficiency.
• Experience mentoring junior engineers, setting technical direction, and driving best practices within a team.
• 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.
• Strong communication skills and ability to collaborate across technical and business teams.

Job Type: Full-time

Pay: $150,000.00-$155,000.00 per year

Work Location: Hybrid remote in Vancouver, BC V6M 2L6

• Location Vancouver, BC
• Work location Hybrid
• Terms of employment Full time
• Starts as soon as possible
• Vacancies 1 vacancy
• Source indeed.com #9873673113

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