Data Engineer - DX Marketing Engineering - McLean, VA at Geebo

Data Engineer - DX Marketing

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! The Opportunity We are looking for a Data Engineer to join the DX Marketing Measurement & Operations team.
Data is 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 in building data products and infrastructure to support data and insights needed to realize customer retention 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 Drive data engineering projects to build data assets and software applications.
Provide technical direction and system architecture expertise for individual initiatives.
Collaborate with key partners from Marketing Technology, and the Central Data Services teams and apply your technical proficiency across different stages of the data and software development process; including requirements elicitation, application architecture definition, and design.
Play a substantial role in crafting high-level design artifacts.
Develop high-quality code for different modules, lead validation for all stages of testing, and support activities related to implementation and transition.
Ensure software is up to date with the latest technologies What you need to succeed BS in Computer Science, Engineering, Analytics, or related field required 5
years of Data Engineering experience Extensive experience with SQL, APIs, SSIS, Git Familiarity 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 collaborate with internal teams and vendors to fix and improve products and drive optimization and automation Experience documenting development phases and monitoring systems Experience with Power BI, Hadoop, Hive, Sqoop, HDFS, Spark, Scala preferred.
Estimated Salary: $20 to $28 per hour based on qualifications.

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