Qualifications
Minimum Requirements5+ years of experience in data engineering, big data, and/or distributed systems specifically for SaaS products.Strong proficiency in Python, Django, and SQL.Demonstrated experience with Snowflake for creating ETL/ELT pipelines, data warehousing, and data analysis.Practical experience with Great Expectations or similar tools for data quality testing and validation.Expertise in data modeling, data warehousing, and the operation of distributed systems.Understanding of privacy-compliant data processing (GDPR, CCPA) within the advertising and retail media sectors.Proven track record of effective collaboration with engineering and product teams.Familiarity with handling real-time streaming data using tools such as Kafka, Kinesis, and/or Pub/Sub.Bonus: Experience with data lakes and machine learning (ML) pipelines.
About the job
About the Role
Vantage Analytics is seeking a talented Senior Data Engineer to enhance our Measurement team. This team is dedicated to improving the Insights Explorer feature on our platform, allowing our partners to effortlessly convert retail media data into actionable insights.
In your role as a Senior Data Engineer, you will be instrumental in architecting the data infrastructure necessary for collecting, processing, and analyzing our extensive datasets. You will leverage a suite of advanced technologies to innovate what is achievable with real-time data and large-scale batch processing.
This is a newly created position, reflecting our commitment to expanding our capabilities.
About Vantage Analytics
Vantage Analytics specializes in transforming retail media data into actionable insights. We empower organizations by enhancing our platform's capabilities, ensuring that they can maximize the potential of their data.