Snowflake Data Engineer (Intermediate–Senior

Snowflake Data Engineer (Intermediate–Senior)

for

Next Pathway

- * The Automated Cloud Migration Company*

Locatio
n:
Downtown Toronto, ON (Onsite, Monday–Friday, 9:00 AM – 5:00 P

M)
Duratio
n: 4-Month Contract (Strong Potential for Extensio

n)
Compan
y:
Next Pathw

ay
Next Pathway is seeking an experienced Snowflake Data Engineer to support a major enterprise client that is building a new cloud data platform on Snowflake. This is a greenfield implementation where the successful candidate will help design and develop modern data pipelines, leverage Snowflake-native capabilities, and enable business users with trusted, analytics-ready da

ta.

The ideal candidate combines strong data engineering skills with hands-on Snowflake expertise and a passion for building scalable, high-performance data solutions that drive business val

ue.

Responsibili

• ments
  
  Data Pipeline Develop
• ment Design, build, and maintain scalable data pipelines to ingest, transform, and deliver data into Snowfl
• ake.
  
  Develop ELT/ETL processes to support batch and near real-time data integration requireme
• nts.
  
  Integrate data from various enterprise applications, databases, APIs, and cloud-based sour
• ces.
  
  Ensure data quality, reliability, and consistency throughout the data lifecy
• cle.
  
  Snowflake Solution Develop
• ment Leverage Snowflake-native capabilities to build efficient, scalable, and maintainable data soluti
• ons.
  
  Develop and optimize Snowflake objects including databases, schemas, tables, views, tasks, streams, and dynamic tab
• les.
  
  Utilize Snowflake features to support data transformation, orchestration, and performance optimizat
• ion.
  
  Collaborate with platform engineers to ensure solutions align with governance, security, and operational standa

• ment Support the design and development of business-focused data marts and semantic data mod
• els.
  
  Create curated datasets that enable self-service reporting and analyt
• ics.
  
  Partner with business stakeholders, analysts, and data consumers to understand reporting and analytics requireme
• nts.
  
  Enable new analytics capabilities through the delivery of high-quality, trusted data ass

• tion Optimize data models, transformations, and queries for performance and scalabil
• ity.
  
  Monitor pipeline execution and troubleshoot data processing iss
• ues.
  
  Implement best practices for cost management, performance tuning, and operational efficiency within Snowfl
• ake.
  
  Contribute to data engineering standards, documentation, and development proces

ses.

Required Qualifica

• tions4+ years of experience in data engineering, data warehousing, or cloud data platform develop
• ment.
  2+ years of hands-on Snowflake development experi
• ence.
  
  Strong SQL development and data modeling sk
• ills.
  
  Experience building and maintaining enterprise data pipelines and data integration solut
• ions.
  
  Experience developing dimensional models, data marts, and analytics-ready data
• sets.
  
  Understanding of modern ELT/ETL design patterns and best pract
• ices.
  
  Experience working with cloud platforms such as AWS, Azure, or Google C
• loud.
  
  Strong problem-solving, troubleshooting, and analytical sk
• ills.
  
  Excellent communication skills and ability to work directly with business and technical stakehol

• ations
  
  SnowPro Certification (Core or Adva
• nced).Experience with Snowflake-native features such as Streams, Tasks, Dynamic Tables, Snowpark, and Data Sh
• aring.
  
  Experience with data orchestration and integration
• tools.
  
  Familiarity with CI/CD, Dev Ops, and Data Ops prac
• tices.
  
  Experience supporting enterprise reporting, analytics, and business intelligence initia
• tives.
  
  Knowledge of modern data architecture and cloud-native data platform d

What Success Loo

• ks Like Reliable and scalable data pipelines delivering trusted enterpris
• e data.
  
  Well-designed data marts that support reporting, dashboards, and ana
• lytics.
  
  Effective use of Snowflake-native capabilities to maximize platform
• value.
  
  High-quality, governed datasets available for business consu
• mption.
  
  Delivery of new analytics capabilities that improve business decision-

making.