Snowflake Data Engineer (Intermediate–Senior) (Toronto)

Snowflake Data Engineer (Intermediate–Senior) (Toronto)

04 Aug
|
Socket.dev
|
Toronto

04 Aug

Socket.dev

Toronto

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 robust data engineering skills with hands-on Snowflake expertise and a passion for building scalable, high-performance data solutions that drive business val ue.

Responsibili

- mentsData Pipeline Develop
- mentDesign, 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
- mentLeverage 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

rds.Data Mart & Analytics Enable

- mentSupport 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

ets.Performance & Optimiza

- tionOptimize 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

ders.

Preferred Qualific

- ationsSnowPro 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, DevOps, and DataOps prac
- tices.Experience supporting enterprise reporting, analytics, and business intelligence initia
- tives.Knowledge of modern data architecture and cloud-native data platform d

escription.

What Success Loo

- ks LikeReliable 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.

📌 Snowflake Data Engineer (Intermediate–Senior) (Toronto)
🏢 Socket.dev
📍 Toronto

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