Sr Data Engineer
Adobe
San Jose
hace 2 días

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

The Digital Imaging team (Photoshop, Lightroom, etc.) is looking for a Senior Data Engineer who is passionate about data and is driven to give customers the best experience possible.

Tapping into our extensive product usage data sets, you will work directly with product managers, researchers, and engineering teams to harness our data, derive useful insights, and help lay the foundation for robust and reliable data-centric decision-making.

You will have the opportunity to exercise creativity in problem solving by delivering inventive new solutions within our data ecosystem.

The position requires ability to own things, come up with innovative solutions, try new tools, technologies, and entrepreneurial approach.

We invite you to join a team of passionate data professionals to elevate our customer experiences to the next level. Come make an impact on two of the most exciting and important products at the company!

What you'll Do

  • Cultivate scalable and reliable automated data pipelines containing large volumes of data
  • Deliver end to end data pipelines to run machine learning models in a production platform
  • Develop processes, and systems to consolidate and analyze unstructured, diverse data sources to generate useful insights for product improvements
  • Partner with data scientists, software engineers and researchers to gather and define data requirements, and build the vital tooling required to ensure timely delivery of high-quality data
  • Own data quality (architecture, instrumentation and validation) for products across Mobile, Desktop and Web
  • Build and maintain anomaly detection systems to promptly alert partners of data quality issues
  • Optimize scheduled jobs and explore new solutions to increase operational efficiency
  • Work with engineers to understand existing product instrumentation and help bridge gaps in data streams to assist research and analytics
  • What you need to succeed

  • 5+ years of proven track record as a data engineer
  • 3+ years of experience with big data and streaming data systems (e.g. AWS, Azure, Hive, Hadoop, Spark, Splunk, Kinesis)
  • Outstanding SQL experience with the ability to write optimized SQLs across platforms
  • Proven hands-on experience in Python / PySpark / Scala and manipulating data using Pandas, NumPy, Koalas and using APIs to transfer data
  • Experience as an architect to design large scale distributed data platforms
  • Experience with orchestration tools (e.g. Apache Air Flow, Azkaban, Oozie)
  • Solid understanding of build systems (e.g. Jenkins) and source control (e.g. Git)
  • Experience with ML algorithms and deploying them into production
  • Be conversant in data science and able to effectively communicate and collaborate with data scientists on the team
  • Strong interpersonal, communication and collaboration skills
  • Be disciplined and creative
  • Familiarity with descriptive and inferential statistics is a plus
  • Experience with a data visualization framework (e.g. Tableau, Power BI)
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