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Senior ETL Developer

Leading technology company that empowers marketers with AI-powered Marketing Platform for programmatic advertising and marketing channels.
Canada
Data
Senior Software Engineer
Remote
5+ years of experience
Enterprise SaaS · AI

Description For Senior ETL Developer

StackAdapt, a leading AI-powered marketing technology company, is seeking a Senior ETL Developer to join their Enterprise Data Office (EDO). This role offers an exciting opportunity to shape the data architecture and operations of a growing organization. The position involves building and managing data pipelines, architecting data models, and ensuring seamless data operations within the company's data lake and Snowflake enterprise data warehouse.

The ideal candidate will bring 5+ years of data engineering leadership experience and deep expertise in cloud-based data warehouses, ETL/ELT pipelines, and modern data architecture. You'll work with various data sources, implement both batch and real-time processing, and play a crucial role in supporting business intelligence needs across the organization.

StackAdapt offers a remote-first work environment and welcomes candidates from anywhere in Canada. The company has received numerous awards for its workplace culture, including recognition from Ad Age, G2, and Great Place to Work®. They pride themselves on maintaining a diverse and inclusive team environment where all individuals are welcome, regardless of their background.

This role presents an excellent opportunity for a seasoned data professional to make a significant impact in a growing technology company. You'll be working with cutting-edge technologies while helping to build and maintain the data infrastructure that powers StackAdapt's marketing platform, which performs over 465 billion automated optimizations per second.

Last updated 2 days ago

Responsibilities For Senior ETL Developer

  • Build reliable data ingestion pipelines from various data sources
  • Orchestrate data pipelines via batch, near-real-time, or real-time operations
  • Advise team on data architecture, modeling, operations, and platform decisions
  • Monitor alerts and troubleshoot production issues
  • Manage data architecture, engineering, and operations within Data Lake and Enterprise Data Warehouse

Requirements For Senior ETL Developer

Python
Java
Kubernetes
  • Minimum 5 years of experience leading data engineering within Enterprise Data Warehouse environment
  • Experience with cloud-based data warehouses (Snowflake, BigQuery, Redshift)
  • Knowledge of data warehousing architecture fundamentals
  • Experience managing cloud-based infrastructure on AWS/AZURE/GCP
  • Experience building ETL/ELT data pipelines
  • Experience with orchestrating data operations via tools like Apache Airflow

Benefits For Senior ETL Developer

  • Remote work opportunity
  • Diverse and inclusive workplace
  • Award-winning company culture

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