Data Engineer, Business Intelligence & Analytics

September 5

🏢 In-office - Toronto

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Movable Ink

Movable Ink empowers marketers with scalable, omni-channel personalization through data activation and AI decisioning$1. .$1

Contextual Marketing • Email Marketing • Dynamic Email Content • Personalization • Digital Marketing

501 - 1000

💰 $55M Series D on 2022-04

Description

• Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. • As a Data Engineer, you will help drive the direction of our Data Warehouse, work hands-on with teammates across the organization to get access to relevant data, and empower teams to make data driven decisions about the direction of our business. • Come and help us manage and make sense of the massive amount of data we’re ingesting!

Requirements

• 3+ years experience as a Data Engineer for a SaaS or SaaS-like company with a focus on Cloud-based Data Warehouse platforms (e.g. AWS Redshift, Google BigQuery, Snowflake). • Experience with data modeling in a data warehouse environment (Kimball, Inmon, DataVault). • Experience with creating code-based data pipelines (we use Python and SQL) and orchestrating them with tools such Apache Airflow, Luigi, Dagster. • Experience building data pipelines from structured, unstructured, and semi-structured data. • Experience working with version control tools (e.g. git). • Experience working within the Continuous Integration / Continuous Delivery (CI/CD) paradigm. • Experience working with Linux/BSD shell commands. • Experience with at least one Enterprise BI Tool (e.g. Tableau Server, QlikSense, etc.). • Experience building data pipelines from APIs published by third party SaaS platforms. • Strong documentation skills and in particular has experience documenting source-to-target mappings (STMs). • Experience working in an Agile environment.

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