Sr Data Science Engineer

    • Adobe Systems
  • San Jose, CA
  • Posted 36 days ago | Updated 10 hours ago

Overview

On Site
USD 127,300.00 - 229,300.00 per year
Full Time

Skills

Neo4j
Data Science
Customer analysis
Data engineering
Collaboration
Machine Learning (ML)
Data governance
Computer science
Amazon S3
File formats
Open source
Graph databases
TensorFlow
Linear regression
Adobe
Google Tag Manager (GTM)
Data
Cloud computing
Analytics
Integrated circuit
Operations
Transformation
Privacy
Apache Hadoop
Apache Hive
Apache Spark
Databricks
Microsoft Azure
Storage
Amazon Web Services
Electronic Health Record (EHR)
Streaming
Apache Parquet
Apache Kafka
Amazon Kinesis
SQL
Python
PySpark
Scala
Pandas
NumPy
Design
Continuous integration
Continuous delivery
GitHub
Jenkins
Orchestration
Apache HTTP Server
Adobe AIR
Communication
Teamwork
Kibana
Algorithms
Keras
PyTorch
XGBoost
Clustering
JIRA
Confluence

Job Details

JOB LEVEL
P40
EMPLOYEE ROLE
Individual Contributor

The Opportunity

Are you driven to use your expertise in data science engineering to drive the next stage of growth at Adobe? The Customer Analytics & GTM team is focused on using the power of data to deliver optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects.

As a member of the Data Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires ability to own things, come up with innovative solutions, try new tools, technologies, and entrepreneurial personality.

Come join us for a truly exciting career, best benefits and outstanding work life balance.

What you will do
  • Build fault tolerant, scalable, quality data pipelines using multiple cloud- based tools.
  • Deliver End to End Data Pipelines to run Machine Learning Models in a production platform.
  • Innovative solutions to help broader organization take significant actions fast and efficiently.
  • Chip in to data engineering and data science frameworks, tools, and processes.
  • Implement outstanding data operations and implement standard methodologies to use resources in an optimum way.
  • Architect data ingestion, data transformation, data consumption, data governance frameworks.
  • Help build production grade ML models and integration with operational systems.
  • This is a high visibility role for a team which is on a critical mission to stop software privacy. A lot of collaboration with global multi-functional operations teams is required to onboard the customers to use genuine software.
  • Work in a collaborative environment and contribute to the team as well as organization's success.

What you will need
  • Bachelor's degree in computer science or equivalent. Master's degree is preferred.
  • 8+ years of proven track record as a data engineer.
  • 5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc.
  • 3+ years of experience with Cloud based technologies - Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet/ORC etc.
  • 2+ years' experience with streaming data ingestion and transformation using Kafka, Kinesis etc.
  • Outstanding SQL experience. Ability to write optimized SQLs across platforms.
  • Hands-on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas etc. and using APIs to transfer data.
  • Experience working as an architect to design large scale distributed data platforms.
  • Experience with CI/CD tools i.e., GitHub, Jenkins etc.
  • Working experience with Open- source orchestration tools i.e., Apache Air Flow/ Azkaban etc.
  • Teammate with excellent communication/teamwork skills when it comes to closely working with data scientists and machine learning engineers daily.
  • Hands-on work experience with Elastic Stack (Elastic, Logstash, Kibana) and Graph Databases (neo4j, Neptune etc.) is highly desired.
  • Work experience with ML algorithms & frameworks i.e., Keras, Tensor Flow, PyTorch, XGBoost, Linear Regression, Classification, Random Forest, Clustering, mlFlow etc.

Nice to have
  • Showcase your work if you are an open - source contributor. Passion to contribute to Open-source community is highly valued.
  • Experience with Data Governance tools e.g., Collibra and Collaboration tools e.g., JIRA/ Confluence etc.

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 $127,300 -- $229,300 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We're glad that you're pursuing a new opportunity at Adobe!

Put your best foot forward:

1. Update your Resume/CV and Workday profile - don't forget to include your uniquely 'Adobe' experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you're interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.

If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact