
GT
Data Engineer | NDA
CARemotePosted Today
Full TimeMidRemoteCA
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Job Description
GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, G
Key Highlights
- Build Data Pipelines: Design and maintain robust, scalable ETL/ELT pipelines to ingest and process third-party and first-party datasets.
- Data Quality & Enrichment: Apply transformation, normalization, and enrichment rules to ensure data consistency and usability.
- Collaborate Across Teams: Work with product managers, data architects, and content experts to align data structure with business needs.
- Operationalize Matching & Merging Logic: Support the implementation of data matching and entity resolution processes using AI/ML tools and proprietary frameworks.
- Monitor & Troubleshoot Pipelines: Build alerts, logs, and metrics to ensure data flows remain healthy and issues are identified and resolved quickly.
Qualifications
Preferred Qualifications
- Experience: 4–8 years in data engineering, with experience in building production-grade data pipelines.
- Tech Stack: Proficient in SQL, Python, and dbt, with strong experience in Snowflake. Additional experience with Spark, Airflow, and Azure Data Lake or similar technologies.
- Cloud Platforms: Familiarity with Azure (preferred) or other major cloud platforms.
- Data Engineering Best Practices: Understanding of data modeling, version control, CI/CD, and data governance principles.
- Curiosity & Ownership: Proactive, detail-oriented, and eager to take ownership of projects and continuously improve systems.
- Team Player: Comfortable working in a cross-functional environment and open to learning from and supporting teammates.
Skills & Technologies
SQLPythonAzureCI/CD
About the Company
GT
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Job Details
Employment Type
Full Time
Experience Level
Mid
Location
CA
Work Mode
Remote
Posted
Today
Country
CA