Data Science Engineer
Adobe
San Jose
hace 6 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!

Digital Media B2B Analytics & Insights team is looking for Data Engineer, who is a full stack data expert and can help us build scalable data platform, pipeline, and analytics solutions that will drive the success of our B2B Creative, Document Cloud & Sign businesses.

This is a fast-paced business environment that will draw on your excellent communication skills, your ability to multi-task and perform under pressure, your superior data analytics & engineering skills and ability to work in a team environment.

The successful candidate will need to have a track record of success in building data pipeline, data platform, and analytics solutions to tackle complex analytical challenges.

  • Candidate needs to be very organized, have a can do’ attitude, and have an internal strong sense of urgency. Candidate must fit into and embrace at least one of Adobe'
  • s core values i.e. Being Genuine, Innovative, Creative and Involved.

    A successful Data Engineer contributes to the success of long-term Adobe Digital Media's B2B goals :

  • Architect, build, and maintain scalable data pipelines for our reports, dashboard, and analytics solutions supporting data infrastructure requirements from Acquisition, Engagement & Retention teams
  • Govern, own and structure data warehouse and infrastructure for associated teams within our org. Take responsibility to resolve for weekly data issues, data workflows and scheduling
  • Architect, build, and maintain data models / data marts for Digital Media B2B domain
  • Partner with various business stakeholders, business analysts, and data scientists to understand metrics, KPIs and analytics need to define data needs.
  • Partner with data science analysts to drive business insights and recommendation through reliable recurring reports, dashboard, and in-depth analytics
  • Be a data expert and own data quality. Monitor, QA, maintain pipeline, and collaborate with data infrastructure and other data engineering / science team to validate data flow and ensure data quality
  • Work with data infrastructure to triage infra issues and drive to resolution in collaboration with centralized IT and Governance teams
  • Requirements :

  • BA / BS in Computer Science, Engineering, Mathematics or other technical field s. Master is preferred
  • 3 - 5 Years of experience
  • Experience in building and maintaining big data pipeline, data warehouse, and complex reporting / analytics solution
  • A strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages (Hive / Hadoop experience preferred)
  • Experience with Hadoop and related technology stack such as Hive, Presto, Oozie, Pig etc.
  • Experience with Data warehouse design and dimensional modeling
  • Experience in driving analysis and business insights out of complex big data environments to solve business problems
  • Experience in Data Visualization tools; Preferably, Tableau, Power BI
  • Experience and ability to QA multiple data sources
  • Experience with programming language such as Python, Java, etc.
  • Preferred Skills :

  • Experience in ETL, Data Science, and statistical models
  • Experience / Knowledge in a SaaS or Subscription Business model environment
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