06 Nov
|
Next Pathway
|
Winnipeg
06 Nov
Next Pathway
Winnipeg
Next Pathway is seeking an experienced Snowflake Data Engineer with experience leading a team, to support a major enterprise client that is building a new cloud data platform on Snowflake.
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 value.
Experience leading a teamDesign, build, and maintain scalable data pipelines to ingest, transform, and deliver data into Snowflake.
Develop ELT/ETL processes to support batch and near real-time data integration requirements.
Integrate data from various enterprise applications, databases, APIs, and cloud-based sources.
Ensure data quality, reliability, and consistency throughout the data lifecycle.
Leverage Snowflake-native capabilities to build efficient, scalable, and maintainable data solutions.
Develop and optimize Snowflake objects including databases, schemas, tables, views, tasks, streams, and dynamic tables.
Utilize Snowflake features to support data transformation, orchestration, and performance optimization.
Data Mart & Analytics Enablement Support the design and development of business-focused data marts and semantic data models.
Partner with business stakeholders, analysts, and data consumers to understand reporting and analytics requirements.
Enable new analytics capabilities through the delivery of high-quality, trusted data assets.
Performance & Optimization Optimize data models, transformations,
and queries for performance and scalability.
Monitor pipeline execution and troubleshoot data processing issues.
Implement best practices for cost management, performance tuning, and operational efficiency within Snowflake.
Contribute to data engineering standards, documentation, and development processes.
Experience with Snowflake-native features such as Streams, Tasks, Dynamic Tables, 4+ years of experience in data engineering, data warehousing, or cloud data platform development.
Robust SQL development and data modeling skills.
Experience building and maintaining enterprise data pipelines and data integration solutions.
Experience developing dimensional models, data marts, and analytics-ready datasets.
Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
Excellent communication skills and ability to work directly with business and technical stakeholders.
SnowPro Certification (Core or Advanced)
- (nice to have)Experience with data orchestration and integration tools.
Familiarity with CI/CD, DevOps, and DataOps practices.
Experience supporting enterprise reporting, analytics, and business intelligence initiatives.
Knowledge of modern data architecture and cloud-native data platform design.
Reliable and scalable data pipelines delivering trusted enterprise data.
Well-designed data marts that support reporting, dashboards, and analytics.
High-quality, governed datasets available for business consumption.
📌 Lead Snowflake Data Engineer (Winnipeg)
🏢 Next Pathway
📍 Winnipeg