Implement robust data infrastructure in AWS, using Spark with Scala
Evolve our core data pipelines to efficiently scale for our massive growth
Store data in optimal engines and formats
Collaborate with our cross-functional teams to design data solutions that meet business needs
Built out fault-tolerant batch and streaming pipelines
Leverage and optimize AWS resources while designing for scale
Collaborate closely with our Data Science and Product teams

Requirements

Production data engineering experience
Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
Familiarity with data lakes, cloud warehouses, and storage formats
Strong proficiency in AWS services
Expertise in SQL for data manipulation and extraction
Excellent written and verbal communication skills
Bachelor's degree in Computer Science or a related field
Experience in adtech
Experience implementing data governance practices, including data quality, metadata management, and access controls
Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
Familiarity with data table formats like Apache Iceberg, Delta

Benefits

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AWSSparkScalaSQLdata engineeringdata governancedata qualitymetadata managementApache IcebergDelta

Soft Skills

communicationcollaboration

Certifications

Bachelor's degree in Computer Science