Senior Data Engineer- Snowflake

Tiger Analytics; Montreal; On-site; CAD 100,000 - 130,000; Full time

Job summary

Tiger Analytics, a leading analytics consulting firm, is seeking a Sr. Data Engineer to enhance their data team in Montreal. The role involves designing and maintaining data pipelines using Snowflake, ensuring efficient data flow, and collaborating with various stakeholders, offering significant career development opportunities in a dynamic environment.

Benefits

Career development opportunities

Entrepreneurial environment

Qualifications

• 9+ years of overall industry experience.
• 5+ years of experience with large-scale data processing pipelines.
• SnowPro Core Certification is a bonus.

Responsibilities

• Design and maintain data pipelines and infrastructure.
• Collaborate with data scientists and analysts.
• Support data-driven decision making.

Skills

Data Engineering

Snowflake

DBT

Data Processing Pipelines

Problem Solving

Tools

AWS Services

Informatica Cloud

Job description

4 weeks ago Be among the first 25 applicants

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 has 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 Sr. Data Engineer with expertise in Snowflake 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 using Cloud Snowflake DBT. 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

• 9+ years of overall industry experience specifically in data engineering
• 5+ years of experience building and deploying large-scale data processing pipelines in a production environment
• Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
• Solid experience with Snowflake Cloud Data Platform (SnowPro Core Certification is a bonus) or other cloud data warehouses (AWS Services)
• Experience with dbt (core and/or Cloud) and Fivetran
• Experience with Informatica Cloud is a bonus
• Strong problem-solving skills and the ability to handle complex data challenges
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
  
  
  

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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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