Data Engineer

Adobe

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profile Job Location:

San Francisco, CA - USA

profile Yearly Salary: $ 114100 - 214950
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were 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!


Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data integrations using AWS technology stack as part of the teams Data as a Service portfolio for Adobes Digital Experience enterprise customers.

Customer facing Engineers who enjoy tackling complex technical challenges have a passion for delighting customers and who are self-motivated to push themselves in a team oriented culture will thrive in our environment

What youll do

Collaborate with Data architects Enterprise architects Solution consultants and Product engineering teams to capture customer data integration requirements conceptualize solutions & build required technology stack

Collaborate with enterprise customers engineering team to identify data sources profile and quantify quality of data sources develop tools to prepare data and build data pipelines for integrating customer data sources and third party data sources with Adobe solutions

Develop new features and improve existing data integrations with customer data ecosystem

Encourage team to think out-of-the-box and overcome engineering obstacles while incorporating new innovative design principles.

Collaborate with a Project Manager to bill and forecast time for customer solutions

Requirements

Experience as an enterprise Data Engineer from a consulting background

AWS Certified Data Engineer Associate or AWS Certified Cloud Practitioner

5 years experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS

7 years experience in Python programming language preferably using PySpark

Software development experience working with Apache Airflow MongoDB MySQL

Strong capacity to manage numerous projects are a must

Experience using Docker or Kubernetes is a plus

BS/MS degree in Computer Science or equivalent industry experience

Ability to identify and resolve problems associated with production grade large scale data processing workflows

Excellent communication skills (were a geographically distributed team)

Experience creating and maintaining unit tests and continuous integration.

Passion for creating Intelligent data pipelines that customers love to use.

Special Consideration given for

Experience & knowledge with Web Analytics or Digital Marketing

Experience & knowledge with Customer Data Platform (CDP) or Data Management Platform (DMP)

Experience & knowledge with Adobe Experience Cloud solutions

Our compensation reflects the cost of labor across several U.S. geographic markets and we pay differently based on those defined markets. The U.S. pay range for this positionis $$214950 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge skillsand experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California the pay range for this position is $148500 - $214950 In New York the pay range for this position is $148500 - $214950 In Washington the pay range for this position is $135100 - $195550

At Adobe for sales roles starting salaries are expressed as total target compensation (TTC base commission) and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting) the application window will remain open until at least the date and time stated above in Pacific Time in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location no specific application window applies and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be anEqual Employment Opportunityemployer. We do not discriminate based on gender race or color ethnicity or national origin age disability religion sexual orientation gender identity or expression veteran status or any other applicable characteristics protected by law.Learn more.

Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process emailor call .


Required Experience:

IC

Our CompanyChanging the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala