2024 University Graduate - Data Science Engineer

Key Skills

Algorithms, Amazon EMR, Amazon Simple Storage Service (S3), Apache Hadoop, Apache Hive, AWS, Cloud computing, Confluence, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Databricks, Effective communication skills, Github, Jenkins, JIRA, Machine learning techniques, Parquet, Presto, Spark Core, SQL

Job Description

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!

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 Challenge

Apply your expertise in data engineering to drive the next stage of growth at Adobe. The Customer Analytics team is passionate about delivering 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 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 and technologies.

What you will do

• Build fault tolerant, scalable, quality data pipelines using cloud- based tools.
• Innovative solutions to help broader organization take critical actions fast and efficiently.
• Be a data steward. Develop deep organization wide data understanding.
• Architect data ingestion, data transformation, data consumption, data governance frameworks.
• Interpret trends and patterns and help teams evaluate the data

What you will need

• 1+ years of experience as a data engineer.
• 1+ years of experience in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc.
• Experience with Cloud based technologies – Databricks, AWS EMR, S3, Azure Blob Storage, Notebooks etc. Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet.
• Outstanding SQL experience with the ability to write optimized SQLs across platforms
• Experience with CI/CD tools i.e., GitHub, Jenkins etc.
• Self motivated and results oriented with excellent interpersonal and communication skills

Nice to have

• Familiarity with Machine Learning Algorithms.
• Experience with tools like 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 position is $97,700 -- $192,000 annually. Pay within this range varies by work location and 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).