Data Engineer - Advertising

Job Description

• Maintain and enhance Spotify’s measurement pipelines, ensuring they remain business-critical. • Build large-scale batch and real-time data pipelines for efficient collection, processing, and storage of measurement-related data. • Make enhancements to data models and ETL code to improve pipeline efficiency and data quality. • Work closely with stakeholders to understand business requirements and translate them into technical solutions. • Write scalable, testable, maintainable, and high-quality code. • Collaborate with engineers, product managers, and other stakeholders, embracing learning and leadership opportunities daily. • Monitor daily execution, diagnose issues, and ensure SLAs are met by maintaining and fixing business-critical pipelines.

Qualifications

• Proven experience in data engineering with high-volume, heterogeneous data, ideally within distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure. • Familiar with data processing frameworks like Scio, GCP Dataflow, AWS EMR, and Apache Beam. • Strong programming skills in Python, Java, or Scala. • Committed to agile software processes, data-driven development, reliability, and responsible experimentation. • Hands-on experience with orchestration tools like Airflow or similar • Excellent problem-solving and communication skills.

Benefits

• We are a distributed workforce enabling our band members to find a work mode that is best for them! • Where in the world? For this role, it can be within the North America region in which we have a work location and is within working hours • Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone. • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.