Intuit
Senior Data Engineer (Mailchimp)
Intuit, Atlanta, Georgia, United States, 30383
Overview
The Data Products team at Mailchimp is responsible for building capabilities on top of our BI platform that enables peeps from across the company to make better decisions with data. What that actually looks like is working with folks from across the company to understand their needs and then surface data in a meaningful way, across tools and teams, to help them drive the business forward. Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense. We have a lot of tools in our toolbelt, but all with the main goal of helping Mailchimp to continue to use data more effectively.
What you'll bring
Strong technical accomplishments in SQL and data analysis skills
Experience with data transformation orchestration tools like dbt or Dataform
Strong business intuition and ability to understand complex business systems
Familiarity with additional transformation platforms like Apache Spark and Beam
Experience with MPP databases such as BigQuery, Redshift, or Snowflake. We use BigQuery here at Mailchimp
Expertise in visualization technologies like Looker, Tableau, or Qlik Sense
Experience with GCP/AWS or other cloud providers is preferred
Familiarity with Python, Go, Java or another OOP language. Most of our tools are primarily built in Python
Familiarity with ETL orchestration tools like Apache Airflow and Google Dataflow
How you will lead
Partner with teams across the business and third parties to understand their needs and come up with end-to-end data solutions
Model data to create core, governed data sets for the entire company to leverage
Build scalable transformation pipelines that enable teams to easily clean up, normalize, and govern data for broad consumption
Manage and model data in visualization tools, to provide a collaborative data analytics platform for the company
Build tools and processes to help make the right data accessible to the right people
Become a subject matter expert on the various datasets and tools we have at Mailchimp
Work with Data Stewards to better document our data
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
The Data Products team at Mailchimp is responsible for building capabilities on top of our BI platform that enables peeps from across the company to make better decisions with data. What that actually looks like is working with folks from across the company to understand their needs and then surface data in a meaningful way, across tools and teams, to help them drive the business forward. Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense. We have a lot of tools in our toolbelt, but all with the main goal of helping Mailchimp to continue to use data more effectively.
What you'll bring
Strong technical accomplishments in SQL and data analysis skills
Experience with data transformation orchestration tools like dbt or Dataform
Strong business intuition and ability to understand complex business systems
Familiarity with additional transformation platforms like Apache Spark and Beam
Experience with MPP databases such as BigQuery, Redshift, or Snowflake. We use BigQuery here at Mailchimp
Expertise in visualization technologies like Looker, Tableau, or Qlik Sense
Experience with GCP/AWS or other cloud providers is preferred
Familiarity with Python, Go, Java or another OOP language. Most of our tools are primarily built in Python
Familiarity with ETL orchestration tools like Apache Airflow and Google Dataflow
How you will lead
Partner with teams across the business and third parties to understand their needs and come up with end-to-end data solutions
Model data to create core, governed data sets for the entire company to leverage
Build scalable transformation pipelines that enable teams to easily clean up, normalize, and govern data for broad consumption
Manage and model data in visualization tools, to provide a collaborative data analytics platform for the company
Build tools and processes to help make the right data accessible to the right people
Become a subject matter expert on the various datasets and tools we have at Mailchimp
Work with Data Stewards to better document our data
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.