Senior Data Engineer

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StackAdapt

πŸ“Remote - Canada

Summary

Join StackAdapt, a leading self-serve advertising platform, as a Senior Data Engineer in their newly formed Enterprise Data Office (EDO). You will be responsible for the data architecture, data pipelines, data operations, and platform management of the data lake and enterprise data warehouse. This role involves assessing business requirements, building data ingestion pipelines, architecting data models, and ensuring seamless data flow for reporting and analytics. StackAdapt is a Remote-First company, open to candidates located anywhere in Canada.

Requirements

  • Minimum 5 years of experience leading data engineering within an Enterprise Data Warehouse environment
  • Hands-on experience with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and bigdata mediums (e.g., Delta Lake, Parquet, Avro)
  • Knowledgeable in data warehousing architecture fundamentals (e.g., Kimball/Inmon methodology, dimensional modeling, conformed dimensions, SCDs, etc)
  • Proven experience managing cloud-based infrastructure on AWS/AZURE/GCP with knowledge of container technologies such as Kubernetes and networking fundamentals
  • Hands-on experience building ETL/ELT data pipelines via custom-coded scripts (e.g., Spark, Python, JAVA, SQL stored procedures) and via integration platforms (e.g., PowerCenter, DataStage, Talend)
  • Highly experienced in orchestrating data operations via tools such as Apache Airflow, Cron, Astronomer etc. and administering the data platform via Infrastructure-as-Code (e.g., Terraform)

Responsibilities

  • Build reliable data ingestion pipelines to extract data from a variety of data sources including databases (e.g., RDBMS/NOSQL/file stores), applications (via API), flatfiles, etc into the Data Lake with appropriate metadata tagging
  • Orchestrate data pipelines via batch, near-real-time, or real-time operations depending on requirements to ensure a seamless and predictable execution
  • Advise the team on all data architecture, data modeling, data operations, and data platform decisions
  • Support the day to day operation of the EDO pipelines by monitoring alerts and investigating, troubleshooting, and remediating production issues

Benefits

StackAdapt is a Remote-First company

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