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Data Engineer
1 month ago
Data Engineer (Contract Position)
Number of Positions: 1 Filled: 0 Duration: 6 months
Location: Toronto, ON, CA
Must be eligible to work in Canada
Remote position, must work EST/EDT hours
Roles and responsibilities:
A Customer Data Platform (CDP) Data Engineer Consultant is responsible for building and managing data pipelines that integrate customer data from various sources, transform it into usable formats, and activate it in downstream marketing, analytics, and ad tech tools. Here are the key aspects of the role:
1. Data Ingestion & Integration
Ingest data from multiple sources such as Adobe Analytics, Iterable, CRM systems, web tracking, mobile apps, and offline sources. Implement ETL (Extract, Transform, Load) or ELT pipelines using tools like Snowflake, and Hightouch.
Work with APIs, webhooks, and batch processes to fetch and load data.
2. Data Modeling & Transformation
Design and optimize data schemas for efficient querying in Snowflake. Implement data transformations to unify customer profiles across multiple touchpoints. Develop identity resolution logic to stitch customer data together using unique identifiers (email, device ID, cookie, etc.).
Use SQL-based transformations to clean and enrich data.
3. Data Quality & Governance
Set up data validation checks to monitor accuracy and completeness. Implement data observability using Snowflake’s built-in features. Manage PII (Personally Identifiable Information) data encryption and masking.
4. Data Activation & Reverse ETL
Use Hightouch to sync data from Snowflake to marketing platforms (Google Ads, Meta, Iterable, Salesforce, etc.). Build audience segmentation logic to personalize customer experiences. Automate activation workflows for real-time customer engagement.
5. Performance Optimization & Scalability
Optimize Snowflake queries, storage, and processing costs.
6. Collaboration & Stakeholder Communication
Work closely with marketing, analytics, and Ad Sales teams to understand data needs. Support marketing teams with self-serve analytics and audience segmentation. Document data pipelines, transformations, and best practices.
Must have skills and experience:
A minimum of %yrs of
Data Warehouse: Snowflake
ELT and ETL: SQL and Python
Reverse ETL: Hightouch (or experience with Rudderstack, Segment)
Analytics & BI: Tableau, Power BI, DOMO
Marketing & Ad Tech Integrations: Nice to have knowledge and exposure.
