Senior Data Engineer

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 

• We are seeking a highly skilled and seasoned Senior Data Developer to join our data analytics engineering team. This team is leading the charge in building the foundation for Adobe’s B2B analytics data infrastructure, a critical component that informs decision-making processes for our multi-billion-dollar business.
• As a Senior Data Developer, your key responsibilities will include understanding business requirements, converting them into technical specifications, designing and developing data models, and creating scalable data products primarily using SQL or Python.
• Your role will necessitate close collaboration with diverse cross-functional teams, inclusive of business stake holders, BI analysts, and other data developers.

What You'll Do 

• You will translate the business requirements into technical specifications using logical and critical thinking skills. You will profile data, join them, cleanse them, and build data products that meet the business requirements.
• You will troubleshoot and resolve issues related to data quality, data incompleteness, and data pipeline. You will have the ability to identify the root cause of poor code performance and resolve them through code optimization, modifying data structures, and configuration changes.
• You will support multiple ongoing projects in a fast-paced environment across a global company
• You should be comfortable with the design and implementation of any stage of an end-to-end data pipeline, including data ingestion, processing, transformation, and storage.

What You Need to Succeed 

• A willingness to learn Adobe’s business processes, systems, and the technologies used.
• Strong communication and collaboration skills are essential. The ability to work with Product Owners and Stakeholders to reach consensus during design and development is crucial. You will need to clearly explain data nuances, data quality issues, and limitations to non-technical colleagues.
• The ability to read complex SQL or Python queries, understand them, and modify them for efficiency and readability.
• Excellent problem-solving skills, with the ability to analyze complex data issues and implement effective solutions.
• Stay current with industry trends, emerging technologies, and best practices in data engineering and analytics. Experience with using AI tools like ChatGPT or Copilot to develop and optimize code in an efficient manner is a plus.
• A minimum of 8 years of experience in data engineering or related roles, with a solid background in data warehousing, data modeling, data access, and data storage techniques.
• Proficiency in SQL or Python with at least 8 years of experience.

Experience with cloud platforms such as Databricks, Azure and proficiency in cloud services such as Azure Data Factory.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. 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.
 

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Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.