
AWS Data Engineer
15 hours ago
Build, maintain, and improve our data infrastructure which currently handles billions of advertising events every hour.
Design and implement streaming and batch pipelines for data ingestion and delivery.
Curate a data warehouse for business and technical stakeholders.
Contribute to GumGum's proprietary machine-learning forecasting systems.
Develop scripts and APIs that serve internal and external reporting needs.
Investigate and test the capabilities of emerging data technologies.
Collaborate regularly with cross-functional teams.
Lead design for medium to large projects with feedback from other engineers - have an architectural perspective.
Experience:
- 4+ years of data engineering or software engineering
- 4+ years building data applications in Scala, Java, and Python
- Proficient with distributed data processing with Apache Spark
- Proficient with SQL and modern data warehouse platforms - Snowflake, Redshift, Big Query , or Synapse
- Proficient with workflow management platforms - Airflow, AWS Data Pipeline , Luigi, or Prefect
- Experience designing data models, warehouses, and ETL pipelines
- Experience with streaming technologies (especially Kafka) is a plus
- 2+ years AWS experience
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