Data Engineer

Tiger Analytics; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

Join a fast-growing analytics consulting firm as a Data Engineer, where you'll design and maintain data pipelines using Dataiku. This role offers a unique opportunity to work in a dynamic, entrepreneurial environment, supporting Fortune 100 companies in their data-driven decision-making. With a focus on career development, you'll collaborate with talented professionals to deliver high-quality solutions. If you're passionate about data engineering and eager to make an impact, this position is perfect for you.

Benefits

Career Development Opportunities

Entrepreneurial Environment

High Degree of Responsibility

Qualifications

• 8+ years of experience in data engineering with strong knowledge of data integration.
• Proficiency in building data pipelines using Dataiku and solid understanding of ETL processes.

Responsibilities

• Design, build, and maintain data pipelines and data infrastructure.
• Collaborate with data scientists and analysts for efficient data flow.

Skills

Data Engineering

Data Integration

Data Warehousing

Dataiku

ETL Processes

Python

SQL

Scala

Cloud Platforms (AWS, Snowflake, Azure, GCP)

Problem-Solving

Tools

Dataiku

AWS

Snowflake

dbt

Azure

GCP

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 various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

• 8+ years of overall industry experience specifically in data engineering
• Strong knowledge of data engineering principles, data integration, and data warehousing concepts
• Proficiency in building and maintaining data pipelines using Dataiku
• Solid understanding of ETL processes and tools
• Strong programming skills in Python, SQL, or Scala
• Good understanding of data modeling, data architecture, and database design
• Familiarity with cloud platforms like AWS, Snowflake, dbt, Azure, or GCP
• Excellent problem-solving and troubleshooting skills
• Strong communication and collaboration abilities
• Attention to detail and a focus on delivering high-quality work

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting