Data Engineer

Tiger Analytics; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

An established industry player is seeking an experienced Data Engineer to join their dynamic team. This role offers a unique opportunity to work with Fortune 100 companies, focusing on data-driven decision-making in a collaborative and entrepreneurial environment. You will design and maintain robust data pipelines, leveraging cutting-edge tools and technologies such as Dataiku, AWS, and Snowflake. With a strong emphasis on individual responsibility, this position promises significant career development and growth. If you have a passion for data engineering and a desire to make a meaningful impact, this opportunity is perfect for you.

Qualifications

• 8+ years of experience in data engineering with a focus on data integration.
• Strong programming skills in Python, SQL, or Scala for data pipeline maintenance.

Responsibilities

• Design and maintain data pipelines and integration processes.
• Collaborate with data scientists and stakeholders for efficient data flow.

Skills

Data Engineering Principles

Python

SQL

Scala

Problem-solving

Communication

Collaboration

Attention to Detail

Tools

Dataiku

AWS

Snowflake

dbt

Azure

GCP

Job description

Employer Industry: Advanced Analytics Consulting

Why Consider this Job Opportunity:

1. Competitive salary up to 8+ years of industry experience
2. Opportunity for significant career development and growth within the company
3. Chance to work with Fortune 100 companies and gain experience in data-driven decision making
4. Collaborative and entrepreneurial work environment
5. High degree of individual responsibility
6. Opportunity to work with cutting-edge technologies and tools like Dataiku, AWS, Snowflake, dbt, Azure, and GCP

What to Expect (Job Responsibilities):

1. Design, build, and maintain data pipelines, data integration processes, and data infrastructure
2. Collaborate closely with data scientists, analysts, and stakeholders to ensure efficient data flow
3. Support data-driven decision making across the organization
4. Utilize ETL processes and tools for data integration
5. Apply programming skills in Python, SQL, or Scala to build and maintain data pipelines

What is Required (Qualifications):

1. 8+ years of overall industry experience in data engineering
2. Strong knowledge of data engineering principles, data integration, and data warehousing concepts
3. Proficiency in building and maintaining data pipelines using Dataiku
4. Solid understanding of ETL processes and tools
5. Strong programming skills in Python, SQL, or Scala
6. Good understanding of data modeling, data architecture, and database design
7. Familiarity with cloud platforms like AWS, Snowflake, dbt, Azure, or GCP
8. Excellent problem-solving and troubleshooting skills
9. Strong communication and collaboration abilities
10. Attention to detail and a focus on delivering high-quality work

How to Stand Out (Preferred Qualifications):

1. Experience working as a Data Engineer in an advanced analytics or consulting environment
2. Familiarity with additional data engineering tools and technologies

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