Data Engineer

Adobe•San Jose, CA

1d•$109,000 - $200,700

About The Position

Our company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to build and deliver outstanding digital experiences! We’re passionate about empowering people to build beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best. We are committed to crafting outstanding employee experiences where everyone is respected and has equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours. The Challenge Apply your expertise in data engineering to drive the next stage of growth at Adobe. The AUP team is passionate about delivering optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires ability to own things, come up with innovative solutions, try new tools and technologies.

Requirements

Master’s degree or equivalent experience is preferred.
8+ years of consistent track record as a data engineer.
5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc.
3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc.
Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet/ORC etc.
2+ years’ experience with streaming data ingestion and transformation using Kafka, Kinesis etc.
Outstanding SQL experience. Ability to write optimized SQLs across platforms.
Experience with CI/CD, orchestration tools (Airflow), and production data systems
Excellent collaboration and communication skills