Data Engineer

Location – Vancouver (Hybrid)

Fulltime position ( candidate need to go to office 2-3 days a week)

Salary – CAD 160k (MAX)

A Day in the Life

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.

Your day will include:

- Building efficient and scalable ETL processes using Snowflake, Databricks, Python, SQL & 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 & Reliability through optimizing queries and troubleshooting issues to ensure data availability and integrity.

- Driving best practices in data engineering, including coding standards, version control, and automation.

- Co-ordinating with engineers across Global Teams, esp. 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.

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.

- Solid communication skills and ability to collaborate across technical and business teams.

📌 Data Engineer (Vancouver)
🏢 Damco Solutions
📍 Vancouver