Data Engineer - Snowflake

Tiger Analytics; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading analytics consulting firm is seeking a Data Engineer to architect and implement advanced analytics capabilities. The ideal candidate will have extensive experience in data engineering, including building data processing pipelines and strong skills in Python and SQL. This role offers significant career development opportunities in a dynamic environment.

Benefits

Significant career development opportunities

Small, entrepreneurial environment

Qualifications

• 8+ years of industry experience in data engineering.
• 5+ years of experience building and deploying large-scale data processing pipelines.

Responsibilities

• Architecting, designing, and implementing advanced analytics capabilities.
• Building processes supporting data transformation and workload management.

Skills

Python

SQL

PySpark

Analytical Skills

Tools

Snowflake

DBT

Databricks

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by market research firms such as Forrester and Gartner. We are seeking top-tier talent to build the best analytics global consulting team in the world.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The ideal candidate will have broad skills in database design, experience working with large and complex data sets, and proficiency in building self-service dashboards and visualization tools. They should be able to apply their skills to generate insights that address business challenges. We seek someone who can bring vision and implement positive change to elevate the company's data analytics capabilities.

Requirements

• 8+ years of industry experience in data engineering
• 5+ years of experience building and deploying large-scale data processing pipelines in production
• Strong skills in Python, SQL, and PySpark
• Experience creating and optimizing complex data processing and transformation pipelines using Python
• Experience with Snowflake Cloud Data Warehouse and DBT tool
• Advanced SQL knowledge and experience working with relational databases and query authoring
• Understanding of Data Warehouse systems and migration to data lakes/Snowflake
• Experience with Databricks is a plus
• Understanding of ELT and ETL patterns and data modeling
• Strong analytical skills for working with unstructured datasets
• Ability to build processes supporting data transformation, structures, metadata, dependencies, and workload management
• Experience collaborating with cross-functional teams in dynamic environments

Benefits

Significant career development opportunities as the company grows. The role offers a chance to be part of a small, entrepreneurial environment with high individual responsibility.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting