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!
We are looking for top-tier analytics engineer to join the DX Marketing Measurement & Operations team! Data has become a strategic asset to the organization in driving all aspects of business decision-making, personalizing customer experiences in real-time, and driving the future of Adobe's business.
This position will play a key role on the DX MM&O team and focus on building data products and infrastructure to support data and insights needed to realize business objectives.
You will be part of a learning culture, where partnership and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued!
What you'll Do
We are seeking a hardworking contributor who will drive data engineering projects to build data assets and software applications.
You should be able to provide technical direction and system architecture expertise for individual initiatives. You will collaborate with key partners from Marketing Insights, Measurement COE, Marketing Technology, and the Central Data Services teams and apply your technical proficiency across different stages of the software development process, including requirements elicitation, application architecture definition, and design.
You will play a substantial role in crafting high-level design artifacts. You will also develop high-quality code for different modules, lead validation for all types of testing, and support activities related to implementation and transition.
What you need to succeed
BS in Computer Science
9+ years of Data Engineering experience
Experience with SQL Server, Hadoop, Hive, Sqoop, HDFS, Spark, Scala
Familiar with cloud environments (AWS, Azure, OpenStack)
Working knowledge of Linux and a high-level scripting language, such as Python.
Strong attention to detail and excellent analytical capabilities.
Exceptional communication, documentation, and presentation skills along with the ability to stay ahead of the latest information management tools and technologies.
Ability to work withintimelines andprioritize and execute tasks.
Collaborate with internal teams and vendors to fix and improveproducts anddrive optimization and automation.
Document development phases and monitor systems.
Ensure software is up to date with the latest technologies.
DevOps knowledge is an added advantage.