Data Engineer
Business Intelligence and Analytics
Posted on 1/12/2024
INACTIVE
Movable Ink

501-1,000 employees

Enables scalable, omni-channel marketing personalization through data and
Company Overview
Movable Ink stands out as a leader in the SaaS industry, providing marketers with robust tools for omni-channel personalization, data activation, and AI decisioning, which have been trusted by the world's top brands to boost their marketing agility and revenue. The company's commitment to employee satisfaction is evident in its repeated recognition as one of the best workplaces by Inc. Magazine and Built In NYC. Furthermore, Movable Ink's research collaboration with Lewis Research demonstrates its dedication to understanding and meeting consumer expectations, thereby driving its industry leadership.
AI & Machine Learning

Company Stage

Series D

Total Funding

$97.3M

Founded

2010

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

4%

1 year growth

2%

2 year growth

10%
Locations
Toronto, ON, Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Redshift
Python
Airflow
Git
BigQuery
SQL
Tableau
AWS
Linux/Unix
Data Analysis
Snowflake
CategoriesNew
Data Engineering
Data Management
Data & Analytics
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
Responsibilities
  • Partner with other Data Engineers and other stakeholders to model ingested data into consumable objects tied to business/stakeholder need
  • Implement and test data pipelines
  • Document data lineage for transformation of data as it flows from source to target
  • Create comprehensive data products with well-defined SLAs
  • Partner with Analysts to build dashboards and reports in a BI tool
  • Partner with Software Engineers to build in-platform reports
  • Work with team to help administer various aspects of our data platform
  • Occasionally participate in “Show and Tell” events to demonstrate recent work